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September 2, 2021 05:43
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Excercise code: Machine Learning in Python
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Machine Learning in Python" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Input of dataset" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "from sklearn.feature_selection import SelectKBest\n", | |
| "from sklearn import svm\n", | |
| "from sklearn.neighbors import NearestCentroid\n", | |
| "from sklearn.naive_bayes import GaussianNB\n", | |
| "from sklearn import tree\n", | |
| "from sklearn.ensemble import RandomForestClassifier\n", | |
| "from sklearn.neural_network import MLPClassifier\n", | |
| "import pandas as pd" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Dataset input" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "data = pd.read_csv(\"train.csv\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>tBodyAcc-mean()-X</th>\n", | |
| " <th>tBodyAcc-mean()-Y</th>\n", | |
| " <th>tBodyAcc-mean()-Z</th>\n", | |
| " <th>tBodyAcc-std()-X</th>\n", | |
| " <th>tBodyAcc-std()-Y</th>\n", | |
| " <th>tBodyAcc-std()-Z</th>\n", | |
| " <th>tBodyAcc-mad()-X</th>\n", | |
| " <th>tBodyAcc-mad()-Y</th>\n", | |
| " <th>tBodyAcc-mad()-Z</th>\n", | |
| " <th>tBodyAcc-max()-X</th>\n", | |
| " <th>...</th>\n", | |
| " <th>fBodyBodyGyroJerkMag-kurtosis()</th>\n", | |
| " <th>angle(tBodyAccMean,gravity)</th>\n", | |
| " <th>angle(tBodyAccJerkMean),gravityMean)</th>\n", | |
| " <th>angle(tBodyGyroMean,gravityMean)</th>\n", | |
| " <th>angle(tBodyGyroJerkMean,gravityMean)</th>\n", | |
| " <th>angle(X,gravityMean)</th>\n", | |
| " <th>angle(Y,gravityMean)</th>\n", | |
| " <th>angle(Z,gravityMean)</th>\n", | |
| " <th>subject</th>\n", | |
| " <th>Activity</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>0.288585</td>\n", | |
| " <td>-0.020294</td>\n", | |
| " <td>-0.132905</td>\n", | |
| " <td>-0.995279</td>\n", | |
| " <td>-0.983111</td>\n", | |
| " <td>-0.913526</td>\n", | |
| " <td>-0.995112</td>\n", | |
| " <td>-0.983185</td>\n", | |
| " <td>-0.923527</td>\n", | |
| " <td>-0.934724</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.710304</td>\n", | |
| " <td>-0.112754</td>\n", | |
| " <td>0.030400</td>\n", | |
| " <td>-0.464761</td>\n", | |
| " <td>-0.018446</td>\n", | |
| " <td>-0.841247</td>\n", | |
| " <td>0.179941</td>\n", | |
| " <td>-0.058627</td>\n", | |
| " <td>1</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>0.278419</td>\n", | |
| " <td>-0.016411</td>\n", | |
| " <td>-0.123520</td>\n", | |
| " <td>-0.998245</td>\n", | |
| " <td>-0.975300</td>\n", | |
| " <td>-0.960322</td>\n", | |
| " <td>-0.998807</td>\n", | |
| " <td>-0.974914</td>\n", | |
| " <td>-0.957686</td>\n", | |
| " <td>-0.943068</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.861499</td>\n", | |
| " <td>0.053477</td>\n", | |
| " <td>-0.007435</td>\n", | |
| " <td>-0.732626</td>\n", | |
| " <td>0.703511</td>\n", | |
| " <td>-0.844788</td>\n", | |
| " <td>0.180289</td>\n", | |
| " <td>-0.054317</td>\n", | |
| " <td>1</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>0.279653</td>\n", | |
| " <td>-0.019467</td>\n", | |
| " <td>-0.113462</td>\n", | |
| " <td>-0.995380</td>\n", | |
| " <td>-0.967187</td>\n", | |
| " <td>-0.978944</td>\n", | |
| " <td>-0.996520</td>\n", | |
| " <td>-0.963668</td>\n", | |
| " <td>-0.977469</td>\n", | |
| " <td>-0.938692</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.760104</td>\n", | |
| " <td>-0.118559</td>\n", | |
| " <td>0.177899</td>\n", | |
| " <td>0.100699</td>\n", | |
| " <td>0.808529</td>\n", | |
| " <td>-0.848933</td>\n", | |
| " <td>0.180637</td>\n", | |
| " <td>-0.049118</td>\n", | |
| " <td>1</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>0.279174</td>\n", | |
| " <td>-0.026201</td>\n", | |
| " <td>-0.123283</td>\n", | |
| " <td>-0.996091</td>\n", | |
| " <td>-0.983403</td>\n", | |
| " <td>-0.990675</td>\n", | |
| " <td>-0.997099</td>\n", | |
| " <td>-0.982750</td>\n", | |
| " <td>-0.989302</td>\n", | |
| " <td>-0.938692</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.482845</td>\n", | |
| " <td>-0.036788</td>\n", | |
| " <td>-0.012892</td>\n", | |
| " <td>0.640011</td>\n", | |
| " <td>-0.485366</td>\n", | |
| " <td>-0.848649</td>\n", | |
| " <td>0.181935</td>\n", | |
| " <td>-0.047663</td>\n", | |
| " <td>1</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>0.276629</td>\n", | |
| " <td>-0.016570</td>\n", | |
| " <td>-0.115362</td>\n", | |
| " <td>-0.998139</td>\n", | |
| " <td>-0.980817</td>\n", | |
| " <td>-0.990482</td>\n", | |
| " <td>-0.998321</td>\n", | |
| " <td>-0.979672</td>\n", | |
| " <td>-0.990441</td>\n", | |
| " <td>-0.942469</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.699205</td>\n", | |
| " <td>0.123320</td>\n", | |
| " <td>0.122542</td>\n", | |
| " <td>0.693578</td>\n", | |
| " <td>-0.615971</td>\n", | |
| " <td>-0.847865</td>\n", | |
| " <td>0.185151</td>\n", | |
| " <td>-0.043892</td>\n", | |
| " <td>1</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7347</th>\n", | |
| " <td>0.299665</td>\n", | |
| " <td>-0.057193</td>\n", | |
| " <td>-0.181233</td>\n", | |
| " <td>-0.195387</td>\n", | |
| " <td>0.039905</td>\n", | |
| " <td>0.077078</td>\n", | |
| " <td>-0.282301</td>\n", | |
| " <td>0.043616</td>\n", | |
| " <td>0.060410</td>\n", | |
| " <td>0.210795</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.880324</td>\n", | |
| " <td>-0.190437</td>\n", | |
| " <td>0.829718</td>\n", | |
| " <td>0.206972</td>\n", | |
| " <td>-0.425619</td>\n", | |
| " <td>-0.791883</td>\n", | |
| " <td>0.238604</td>\n", | |
| " <td>0.049819</td>\n", | |
| " <td>30</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7348</th>\n", | |
| " <td>0.273853</td>\n", | |
| " <td>-0.007749</td>\n", | |
| " <td>-0.147468</td>\n", | |
| " <td>-0.235309</td>\n", | |
| " <td>0.004816</td>\n", | |
| " <td>0.059280</td>\n", | |
| " <td>-0.322552</td>\n", | |
| " <td>-0.029456</td>\n", | |
| " <td>0.080585</td>\n", | |
| " <td>0.117440</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.680744</td>\n", | |
| " <td>0.064907</td>\n", | |
| " <td>0.875679</td>\n", | |
| " <td>-0.879033</td>\n", | |
| " <td>0.400219</td>\n", | |
| " <td>-0.771840</td>\n", | |
| " <td>0.252676</td>\n", | |
| " <td>0.050053</td>\n", | |
| " <td>30</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7349</th>\n", | |
| " <td>0.273387</td>\n", | |
| " <td>-0.017011</td>\n", | |
| " <td>-0.045022</td>\n", | |
| " <td>-0.218218</td>\n", | |
| " <td>-0.103822</td>\n", | |
| " <td>0.274533</td>\n", | |
| " <td>-0.304515</td>\n", | |
| " <td>-0.098913</td>\n", | |
| " <td>0.332584</td>\n", | |
| " <td>0.043999</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.304029</td>\n", | |
| " <td>0.052806</td>\n", | |
| " <td>-0.266724</td>\n", | |
| " <td>0.864404</td>\n", | |
| " <td>0.701169</td>\n", | |
| " <td>-0.779133</td>\n", | |
| " <td>0.249145</td>\n", | |
| " <td>0.040811</td>\n", | |
| " <td>30</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7350</th>\n", | |
| " <td>0.289654</td>\n", | |
| " <td>-0.018843</td>\n", | |
| " <td>-0.158281</td>\n", | |
| " <td>-0.219139</td>\n", | |
| " <td>-0.111412</td>\n", | |
| " <td>0.268893</td>\n", | |
| " <td>-0.310487</td>\n", | |
| " <td>-0.068200</td>\n", | |
| " <td>0.319473</td>\n", | |
| " <td>0.101702</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.344314</td>\n", | |
| " <td>-0.101360</td>\n", | |
| " <td>0.700740</td>\n", | |
| " <td>0.936674</td>\n", | |
| " <td>-0.589479</td>\n", | |
| " <td>-0.785181</td>\n", | |
| " <td>0.246432</td>\n", | |
| " <td>0.025339</td>\n", | |
| " <td>30</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7351</th>\n", | |
| " <td>0.351503</td>\n", | |
| " <td>-0.012423</td>\n", | |
| " <td>-0.203867</td>\n", | |
| " <td>-0.269270</td>\n", | |
| " <td>-0.087212</td>\n", | |
| " <td>0.177404</td>\n", | |
| " <td>-0.377404</td>\n", | |
| " <td>-0.038678</td>\n", | |
| " <td>0.229430</td>\n", | |
| " <td>0.269013</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.740738</td>\n", | |
| " <td>-0.280088</td>\n", | |
| " <td>-0.007739</td>\n", | |
| " <td>-0.056088</td>\n", | |
| " <td>-0.616956</td>\n", | |
| " <td>-0.783267</td>\n", | |
| " <td>0.246809</td>\n", | |
| " <td>0.036695</td>\n", | |
| " <td>30</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>7352 rows × 563 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " tBodyAcc-mean()-X tBodyAcc-mean()-Y tBodyAcc-mean()-Z \\\n", | |
| "0 0.288585 -0.020294 -0.132905 \n", | |
| "1 0.278419 -0.016411 -0.123520 \n", | |
| "2 0.279653 -0.019467 -0.113462 \n", | |
| "3 0.279174 -0.026201 -0.123283 \n", | |
| "4 0.276629 -0.016570 -0.115362 \n", | |
| "... ... ... ... \n", | |
| "7347 0.299665 -0.057193 -0.181233 \n", | |
| "7348 0.273853 -0.007749 -0.147468 \n", | |
| "7349 0.273387 -0.017011 -0.045022 \n", | |
| "7350 0.289654 -0.018843 -0.158281 \n", | |
| "7351 0.351503 -0.012423 -0.203867 \n", | |
| "\n", | |
| " tBodyAcc-std()-X tBodyAcc-std()-Y tBodyAcc-std()-Z tBodyAcc-mad()-X \\\n", | |
| "0 -0.995279 -0.983111 -0.913526 -0.995112 \n", | |
| "1 -0.998245 -0.975300 -0.960322 -0.998807 \n", | |
| "2 -0.995380 -0.967187 -0.978944 -0.996520 \n", | |
| "3 -0.996091 -0.983403 -0.990675 -0.997099 \n", | |
| "4 -0.998139 -0.980817 -0.990482 -0.998321 \n", | |
| "... ... ... ... ... \n", | |
| "7347 -0.195387 0.039905 0.077078 -0.282301 \n", | |
| "7348 -0.235309 0.004816 0.059280 -0.322552 \n", | |
| "7349 -0.218218 -0.103822 0.274533 -0.304515 \n", | |
| "7350 -0.219139 -0.111412 0.268893 -0.310487 \n", | |
| "7351 -0.269270 -0.087212 0.177404 -0.377404 \n", | |
| "\n", | |
| " tBodyAcc-mad()-Y tBodyAcc-mad()-Z tBodyAcc-max()-X ... \\\n", | |
| "0 -0.983185 -0.923527 -0.934724 ... \n", | |
| "1 -0.974914 -0.957686 -0.943068 ... \n", | |
| "2 -0.963668 -0.977469 -0.938692 ... \n", | |
| "3 -0.982750 -0.989302 -0.938692 ... \n", | |
| "4 -0.979672 -0.990441 -0.942469 ... \n", | |
| "... ... ... ... ... \n", | |
| "7347 0.043616 0.060410 0.210795 ... \n", | |
| "7348 -0.029456 0.080585 0.117440 ... \n", | |
| "7349 -0.098913 0.332584 0.043999 ... \n", | |
| "7350 -0.068200 0.319473 0.101702 ... \n", | |
| "7351 -0.038678 0.229430 0.269013 ... \n", | |
| "\n", | |
| " fBodyBodyGyroJerkMag-kurtosis() angle(tBodyAccMean,gravity) \\\n", | |
| "0 -0.710304 -0.112754 \n", | |
| "1 -0.861499 0.053477 \n", | |
| "2 -0.760104 -0.118559 \n", | |
| "3 -0.482845 -0.036788 \n", | |
| "4 -0.699205 0.123320 \n", | |
| "... ... ... \n", | |
| "7347 -0.880324 -0.190437 \n", | |
| "7348 -0.680744 0.064907 \n", | |
| "7349 -0.304029 0.052806 \n", | |
| "7350 -0.344314 -0.101360 \n", | |
| "7351 -0.740738 -0.280088 \n", | |
| "\n", | |
| " angle(tBodyAccJerkMean),gravityMean) angle(tBodyGyroMean,gravityMean) \\\n", | |
| "0 0.030400 -0.464761 \n", | |
| "1 -0.007435 -0.732626 \n", | |
| "2 0.177899 0.100699 \n", | |
| "3 -0.012892 0.640011 \n", | |
| "4 0.122542 0.693578 \n", | |
| "... ... ... \n", | |
| "7347 0.829718 0.206972 \n", | |
| "7348 0.875679 -0.879033 \n", | |
| "7349 -0.266724 0.864404 \n", | |
| "7350 0.700740 0.936674 \n", | |
| "7351 -0.007739 -0.056088 \n", | |
| "\n", | |
| " angle(tBodyGyroJerkMean,gravityMean) angle(X,gravityMean) \\\n", | |
| "0 -0.018446 -0.841247 \n", | |
| "1 0.703511 -0.844788 \n", | |
| "2 0.808529 -0.848933 \n", | |
| "3 -0.485366 -0.848649 \n", | |
| "4 -0.615971 -0.847865 \n", | |
| "... ... ... \n", | |
| "7347 -0.425619 -0.791883 \n", | |
| "7348 0.400219 -0.771840 \n", | |
| "7349 0.701169 -0.779133 \n", | |
| "7350 -0.589479 -0.785181 \n", | |
| "7351 -0.616956 -0.783267 \n", | |
| "\n", | |
| " angle(Y,gravityMean) angle(Z,gravityMean) subject Activity \n", | |
| "0 0.179941 -0.058627 1 STANDING \n", | |
| "1 0.180289 -0.054317 1 STANDING \n", | |
| "2 0.180637 -0.049118 1 STANDING \n", | |
| "3 0.181935 -0.047663 1 STANDING \n", | |
| "4 0.185151 -0.043892 1 STANDING \n", | |
| "... ... ... ... ... \n", | |
| "7347 0.238604 0.049819 30 WALKING_UPSTAIRS \n", | |
| "7348 0.252676 0.050053 30 WALKING_UPSTAIRS \n", | |
| "7349 0.249145 0.040811 30 WALKING_UPSTAIRS \n", | |
| "7350 0.246432 0.025339 30 WALKING_UPSTAIRS \n", | |
| "7351 0.246809 0.036695 30 WALKING_UPSTAIRS \n", | |
| "\n", | |
| "[7352 rows x 563 columns]" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "remove_subject = data.iloc[:,0:561]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "label = data.iloc[:,562]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "fin_data = pd.concat([remove_subject, label], axis=1)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>tBodyAcc-mean()-X</th>\n", | |
| " <th>tBodyAcc-mean()-Y</th>\n", | |
| " <th>tBodyAcc-mean()-Z</th>\n", | |
| " <th>tBodyAcc-std()-X</th>\n", | |
| " <th>tBodyAcc-std()-Y</th>\n", | |
| " <th>tBodyAcc-std()-Z</th>\n", | |
| " <th>tBodyAcc-mad()-X</th>\n", | |
| " <th>tBodyAcc-mad()-Y</th>\n", | |
| " <th>tBodyAcc-mad()-Z</th>\n", | |
| " <th>tBodyAcc-max()-X</th>\n", | |
| " <th>...</th>\n", | |
| " <th>fBodyBodyGyroJerkMag-skewness()</th>\n", | |
| " <th>fBodyBodyGyroJerkMag-kurtosis()</th>\n", | |
| " <th>angle(tBodyAccMean,gravity)</th>\n", | |
| " <th>angle(tBodyAccJerkMean),gravityMean)</th>\n", | |
| " <th>angle(tBodyGyroMean,gravityMean)</th>\n", | |
| " <th>angle(tBodyGyroJerkMean,gravityMean)</th>\n", | |
| " <th>angle(X,gravityMean)</th>\n", | |
| " <th>angle(Y,gravityMean)</th>\n", | |
| " <th>angle(Z,gravityMean)</th>\n", | |
| " <th>Activity</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>0.288585</td>\n", | |
| " <td>-0.020294</td>\n", | |
| " <td>-0.132905</td>\n", | |
| " <td>-0.995279</td>\n", | |
| " <td>-0.983111</td>\n", | |
| " <td>-0.913526</td>\n", | |
| " <td>-0.995112</td>\n", | |
| " <td>-0.983185</td>\n", | |
| " <td>-0.923527</td>\n", | |
| " <td>-0.934724</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.298676</td>\n", | |
| " <td>-0.710304</td>\n", | |
| " <td>-0.112754</td>\n", | |
| " <td>0.030400</td>\n", | |
| " <td>-0.464761</td>\n", | |
| " <td>-0.018446</td>\n", | |
| " <td>-0.841247</td>\n", | |
| " <td>0.179941</td>\n", | |
| " <td>-0.058627</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>0.278419</td>\n", | |
| " <td>-0.016411</td>\n", | |
| " <td>-0.123520</td>\n", | |
| " <td>-0.998245</td>\n", | |
| " <td>-0.975300</td>\n", | |
| " <td>-0.960322</td>\n", | |
| " <td>-0.998807</td>\n", | |
| " <td>-0.974914</td>\n", | |
| " <td>-0.957686</td>\n", | |
| " <td>-0.943068</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.595051</td>\n", | |
| " <td>-0.861499</td>\n", | |
| " <td>0.053477</td>\n", | |
| " <td>-0.007435</td>\n", | |
| " <td>-0.732626</td>\n", | |
| " <td>0.703511</td>\n", | |
| " <td>-0.844788</td>\n", | |
| " <td>0.180289</td>\n", | |
| " <td>-0.054317</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>0.279653</td>\n", | |
| " <td>-0.019467</td>\n", | |
| " <td>-0.113462</td>\n", | |
| " <td>-0.995380</td>\n", | |
| " <td>-0.967187</td>\n", | |
| " <td>-0.978944</td>\n", | |
| " <td>-0.996520</td>\n", | |
| " <td>-0.963668</td>\n", | |
| " <td>-0.977469</td>\n", | |
| " <td>-0.938692</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.390748</td>\n", | |
| " <td>-0.760104</td>\n", | |
| " <td>-0.118559</td>\n", | |
| " <td>0.177899</td>\n", | |
| " <td>0.100699</td>\n", | |
| " <td>0.808529</td>\n", | |
| " <td>-0.848933</td>\n", | |
| " <td>0.180637</td>\n", | |
| " <td>-0.049118</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>0.279174</td>\n", | |
| " <td>-0.026201</td>\n", | |
| " <td>-0.123283</td>\n", | |
| " <td>-0.996091</td>\n", | |
| " <td>-0.983403</td>\n", | |
| " <td>-0.990675</td>\n", | |
| " <td>-0.997099</td>\n", | |
| " <td>-0.982750</td>\n", | |
| " <td>-0.989302</td>\n", | |
| " <td>-0.938692</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.117290</td>\n", | |
| " <td>-0.482845</td>\n", | |
| " <td>-0.036788</td>\n", | |
| " <td>-0.012892</td>\n", | |
| " <td>0.640011</td>\n", | |
| " <td>-0.485366</td>\n", | |
| " <td>-0.848649</td>\n", | |
| " <td>0.181935</td>\n", | |
| " <td>-0.047663</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>0.276629</td>\n", | |
| " <td>-0.016570</td>\n", | |
| " <td>-0.115362</td>\n", | |
| " <td>-0.998139</td>\n", | |
| " <td>-0.980817</td>\n", | |
| " <td>-0.990482</td>\n", | |
| " <td>-0.998321</td>\n", | |
| " <td>-0.979672</td>\n", | |
| " <td>-0.990441</td>\n", | |
| " <td>-0.942469</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.351471</td>\n", | |
| " <td>-0.699205</td>\n", | |
| " <td>0.123320</td>\n", | |
| " <td>0.122542</td>\n", | |
| " <td>0.693578</td>\n", | |
| " <td>-0.615971</td>\n", | |
| " <td>-0.847865</td>\n", | |
| " <td>0.185151</td>\n", | |
| " <td>-0.043892</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7347</th>\n", | |
| " <td>0.299665</td>\n", | |
| " <td>-0.057193</td>\n", | |
| " <td>-0.181233</td>\n", | |
| " <td>-0.195387</td>\n", | |
| " <td>0.039905</td>\n", | |
| " <td>0.077078</td>\n", | |
| " <td>-0.282301</td>\n", | |
| " <td>0.043616</td>\n", | |
| " <td>0.060410</td>\n", | |
| " <td>0.210795</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.588433</td>\n", | |
| " <td>-0.880324</td>\n", | |
| " <td>-0.190437</td>\n", | |
| " <td>0.829718</td>\n", | |
| " <td>0.206972</td>\n", | |
| " <td>-0.425619</td>\n", | |
| " <td>-0.791883</td>\n", | |
| " <td>0.238604</td>\n", | |
| " <td>0.049819</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7348</th>\n", | |
| " <td>0.273853</td>\n", | |
| " <td>-0.007749</td>\n", | |
| " <td>-0.147468</td>\n", | |
| " <td>-0.235309</td>\n", | |
| " <td>0.004816</td>\n", | |
| " <td>0.059280</td>\n", | |
| " <td>-0.322552</td>\n", | |
| " <td>-0.029456</td>\n", | |
| " <td>0.080585</td>\n", | |
| " <td>0.117440</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.390738</td>\n", | |
| " <td>-0.680744</td>\n", | |
| " <td>0.064907</td>\n", | |
| " <td>0.875679</td>\n", | |
| " <td>-0.879033</td>\n", | |
| " <td>0.400219</td>\n", | |
| " <td>-0.771840</td>\n", | |
| " <td>0.252676</td>\n", | |
| " <td>0.050053</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7349</th>\n", | |
| " <td>0.273387</td>\n", | |
| " <td>-0.017011</td>\n", | |
| " <td>-0.045022</td>\n", | |
| " <td>-0.218218</td>\n", | |
| " <td>-0.103822</td>\n", | |
| " <td>0.274533</td>\n", | |
| " <td>-0.304515</td>\n", | |
| " <td>-0.098913</td>\n", | |
| " <td>0.332584</td>\n", | |
| " <td>0.043999</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.025145</td>\n", | |
| " <td>-0.304029</td>\n", | |
| " <td>0.052806</td>\n", | |
| " <td>-0.266724</td>\n", | |
| " <td>0.864404</td>\n", | |
| " <td>0.701169</td>\n", | |
| " <td>-0.779133</td>\n", | |
| " <td>0.249145</td>\n", | |
| " <td>0.040811</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7350</th>\n", | |
| " <td>0.289654</td>\n", | |
| " <td>-0.018843</td>\n", | |
| " <td>-0.158281</td>\n", | |
| " <td>-0.219139</td>\n", | |
| " <td>-0.111412</td>\n", | |
| " <td>0.268893</td>\n", | |
| " <td>-0.310487</td>\n", | |
| " <td>-0.068200</td>\n", | |
| " <td>0.319473</td>\n", | |
| " <td>0.101702</td>\n", | |
| " <td>...</td>\n", | |
| " <td>0.063907</td>\n", | |
| " <td>-0.344314</td>\n", | |
| " <td>-0.101360</td>\n", | |
| " <td>0.700740</td>\n", | |
| " <td>0.936674</td>\n", | |
| " <td>-0.589479</td>\n", | |
| " <td>-0.785181</td>\n", | |
| " <td>0.246432</td>\n", | |
| " <td>0.025339</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7351</th>\n", | |
| " <td>0.351503</td>\n", | |
| " <td>-0.012423</td>\n", | |
| " <td>-0.203867</td>\n", | |
| " <td>-0.269270</td>\n", | |
| " <td>-0.087212</td>\n", | |
| " <td>0.177404</td>\n", | |
| " <td>-0.377404</td>\n", | |
| " <td>-0.038678</td>\n", | |
| " <td>0.229430</td>\n", | |
| " <td>0.269013</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.387052</td>\n", | |
| " <td>-0.740738</td>\n", | |
| " <td>-0.280088</td>\n", | |
| " <td>-0.007739</td>\n", | |
| " <td>-0.056088</td>\n", | |
| " <td>-0.616956</td>\n", | |
| " <td>-0.783267</td>\n", | |
| " <td>0.246809</td>\n", | |
| " <td>0.036695</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>7352 rows × 562 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " tBodyAcc-mean()-X tBodyAcc-mean()-Y tBodyAcc-mean()-Z \\\n", | |
| "0 0.288585 -0.020294 -0.132905 \n", | |
| "1 0.278419 -0.016411 -0.123520 \n", | |
| "2 0.279653 -0.019467 -0.113462 \n", | |
| "3 0.279174 -0.026201 -0.123283 \n", | |
| "4 0.276629 -0.016570 -0.115362 \n", | |
| "... ... ... ... \n", | |
| "7347 0.299665 -0.057193 -0.181233 \n", | |
| "7348 0.273853 -0.007749 -0.147468 \n", | |
| "7349 0.273387 -0.017011 -0.045022 \n", | |
| "7350 0.289654 -0.018843 -0.158281 \n", | |
| "7351 0.351503 -0.012423 -0.203867 \n", | |
| "\n", | |
| " tBodyAcc-std()-X tBodyAcc-std()-Y tBodyAcc-std()-Z tBodyAcc-mad()-X \\\n", | |
| "0 -0.995279 -0.983111 -0.913526 -0.995112 \n", | |
| "1 -0.998245 -0.975300 -0.960322 -0.998807 \n", | |
| "2 -0.995380 -0.967187 -0.978944 -0.996520 \n", | |
| "3 -0.996091 -0.983403 -0.990675 -0.997099 \n", | |
| "4 -0.998139 -0.980817 -0.990482 -0.998321 \n", | |
| "... ... ... ... ... \n", | |
| "7347 -0.195387 0.039905 0.077078 -0.282301 \n", | |
| "7348 -0.235309 0.004816 0.059280 -0.322552 \n", | |
| "7349 -0.218218 -0.103822 0.274533 -0.304515 \n", | |
| "7350 -0.219139 -0.111412 0.268893 -0.310487 \n", | |
| "7351 -0.269270 -0.087212 0.177404 -0.377404 \n", | |
| "\n", | |
| " tBodyAcc-mad()-Y tBodyAcc-mad()-Z tBodyAcc-max()-X ... \\\n", | |
| "0 -0.983185 -0.923527 -0.934724 ... \n", | |
| "1 -0.974914 -0.957686 -0.943068 ... \n", | |
| "2 -0.963668 -0.977469 -0.938692 ... \n", | |
| "3 -0.982750 -0.989302 -0.938692 ... \n", | |
| "4 -0.979672 -0.990441 -0.942469 ... \n", | |
| "... ... ... ... ... \n", | |
| "7347 0.043616 0.060410 0.210795 ... \n", | |
| "7348 -0.029456 0.080585 0.117440 ... \n", | |
| "7349 -0.098913 0.332584 0.043999 ... \n", | |
| "7350 -0.068200 0.319473 0.101702 ... \n", | |
| "7351 -0.038678 0.229430 0.269013 ... \n", | |
| "\n", | |
| " fBodyBodyGyroJerkMag-skewness() fBodyBodyGyroJerkMag-kurtosis() \\\n", | |
| "0 -0.298676 -0.710304 \n", | |
| "1 -0.595051 -0.861499 \n", | |
| "2 -0.390748 -0.760104 \n", | |
| "3 -0.117290 -0.482845 \n", | |
| "4 -0.351471 -0.699205 \n", | |
| "... ... ... \n", | |
| "7347 -0.588433 -0.880324 \n", | |
| "7348 -0.390738 -0.680744 \n", | |
| "7349 0.025145 -0.304029 \n", | |
| "7350 0.063907 -0.344314 \n", | |
| "7351 -0.387052 -0.740738 \n", | |
| "\n", | |
| " angle(tBodyAccMean,gravity) angle(tBodyAccJerkMean),gravityMean) \\\n", | |
| "0 -0.112754 0.030400 \n", | |
| "1 0.053477 -0.007435 \n", | |
| "2 -0.118559 0.177899 \n", | |
| "3 -0.036788 -0.012892 \n", | |
| "4 0.123320 0.122542 \n", | |
| "... ... ... \n", | |
| "7347 -0.190437 0.829718 \n", | |
| "7348 0.064907 0.875679 \n", | |
| "7349 0.052806 -0.266724 \n", | |
| "7350 -0.101360 0.700740 \n", | |
| "7351 -0.280088 -0.007739 \n", | |
| "\n", | |
| " angle(tBodyGyroMean,gravityMean) angle(tBodyGyroJerkMean,gravityMean) \\\n", | |
| "0 -0.464761 -0.018446 \n", | |
| "1 -0.732626 0.703511 \n", | |
| "2 0.100699 0.808529 \n", | |
| "3 0.640011 -0.485366 \n", | |
| "4 0.693578 -0.615971 \n", | |
| "... ... ... \n", | |
| "7347 0.206972 -0.425619 \n", | |
| "7348 -0.879033 0.400219 \n", | |
| "7349 0.864404 0.701169 \n", | |
| "7350 0.936674 -0.589479 \n", | |
| "7351 -0.056088 -0.616956 \n", | |
| "\n", | |
| " angle(X,gravityMean) angle(Y,gravityMean) angle(Z,gravityMean) \\\n", | |
| "0 -0.841247 0.179941 -0.058627 \n", | |
| "1 -0.844788 0.180289 -0.054317 \n", | |
| "2 -0.848933 0.180637 -0.049118 \n", | |
| "3 -0.848649 0.181935 -0.047663 \n", | |
| "4 -0.847865 0.185151 -0.043892 \n", | |
| "... ... ... ... \n", | |
| "7347 -0.791883 0.238604 0.049819 \n", | |
| "7348 -0.771840 0.252676 0.050053 \n", | |
| "7349 -0.779133 0.249145 0.040811 \n", | |
| "7350 -0.785181 0.246432 0.025339 \n", | |
| "7351 -0.783267 0.246809 0.036695 \n", | |
| "\n", | |
| " Activity \n", | |
| "0 STANDING \n", | |
| "1 STANDING \n", | |
| "2 STANDING \n", | |
| "3 STANDING \n", | |
| "4 STANDING \n", | |
| "... ... \n", | |
| "7347 WALKING_UPSTAIRS \n", | |
| "7348 WALKING_UPSTAIRS \n", | |
| "7349 WALKING_UPSTAIRS \n", | |
| "7350 WALKING_UPSTAIRS \n", | |
| "7351 WALKING_UPSTAIRS \n", | |
| "\n", | |
| "[7352 rows x 562 columns]" | |
| ] | |
| }, | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fin_data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Избор на карактеристики" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Ова податочно множество содржи голем број на карактеристики. За полесна обработка и поголема прегледност, се избираат само дел од нив. Ова може да се направи со функцијата `SelectKBest` од scikit-learn. Во овој случај, ќе ги избереме 10-те карактеристики кои најдобро ја објеснуваат варијансата во множеството. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "select_feats = SelectKBest(k=10)\n", | |
| "feats = select_feats.fit_transform(remove_subject, label)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array([ 0.96339614, 0.89205451, 0.97743631, 0.89946864, -0.81994925,\n", | |
| " -0.86341476, -0.94635692, -1. , -1. , -1. ])" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "feats[0]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
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| " -0.99964264,\n", | |
| " -0.99997266,\n", | |
| " -0.99995535,\n", | |
| " -0.9999763,\n", | |
| " -0.99990583,\n", | |
| " -0.9999855,\n", | |
| " -0.99993717,\n", | |
| " -0.99975115,\n", | |
| " -0.99907227,\n", | |
| " -0.99992754,\n", | |
| " -0.99995158,\n", | |
| " -0.99990585,\n", | |
| " -0.99989269,\n", | |
| " -0.99944433,\n", | |
| " -0.99994099,\n", | |
| " -0.99995861,\n", | |
| " -0.95215466,\n", | |
| " -0.95613397,\n", | |
| " -0.94887014,\n", | |
| " -0.97432057,\n", | |
| " -0.92572179,\n", | |
| " -0.95215466,\n", | |
| " -0.9982851999999999,\n", | |
| " -0.9732732,\n", | |
| " -0.64637645,\n", | |
| " -0.79310345,\n", | |
| " -0.08843612,\n", | |
| " -0.43647104,\n", | |
| " -0.79684048,\n", | |
| " -0.99372565,\n", | |
| " -0.99375495,\n", | |
| " -0.9919757,\n", | |
| " -0.99336472,\n", | |
| " -0.98817543,\n", | |
| " -0.99372565,\n", | |
| " -0.99991844,\n", | |
| " -0.99136366,\n", | |
| " -1.0,\n", | |
| " -0.93650794,\n", | |
| " 0.34698853,\n", | |
| " -0.51608015,\n", | |
| " -0.80276003,\n", | |
| " -0.98013485,\n", | |
| " -0.96130944,\n", | |
| " -0.97365344,\n", | |
| " -0.95226383,\n", | |
| " -0.98949813,\n", | |
| " -0.98013485,\n", | |
| " -0.99924035,\n", | |
| " -0.99265553,\n", | |
| " -0.70129141,\n", | |
| " -1.0,\n", | |
| " -0.1289889,\n", | |
| " 0.58615643,\n", | |
| " 0.37460462,\n", | |
| " -0.99199044,\n", | |
| " -0.99069746,\n", | |
| " -0.98994084,\n", | |
| " -0.99244784,\n", | |
| " -0.99104773,\n", | |
| " -0.99199044,\n", | |
| " -0.99993676,\n", | |
| " -0.99045792,\n", | |
| " -0.8713058000000001,\n", | |
| " -1.0,\n", | |
| " -0.074323027,\n", | |
| " -0.29867637,\n", | |
| " -0.71030407,\n", | |
| " -0.11275434,\n", | |
| " 0.030400372000000002,\n", | |
| " -0.46476139,\n", | |
| " -0.018445884,\n", | |
| " -0.84124676,\n", | |
| " 0.17994061,\n", | |
| " -0.058626924000000004,\n", | |
| " 'STANDING']" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "list(fin_data.iloc[0])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "На следниот начин можеме да видиме кои колони се избрани." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "234" | |
| ] | |
| }, | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "list(fin_data.iloc[0]).index(-0.86341476)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "40" | |
| ] | |
| }, | |
| "execution_count": 12, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "list(fin_data.iloc[0]).index(0.96339614)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'tGravityAcc-mean()-X'" | |
| ] | |
| }, | |
| "execution_count": 13, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fin_data.columns[40]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'tBodyAccJerkMag-entropy()'" | |
| ] | |
| }, | |
| "execution_count": 14, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fin_data.columns[234]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "На ист начин се вчитува и множеството за тестирање." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "X_train = feats\n", | |
| "y_train = label.to_numpy()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "test = pd.read_csv(\"test.csv\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/html": [ | |
| "<div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>tBodyAcc-mean()-X</th>\n", | |
| " <th>tBodyAcc-mean()-Y</th>\n", | |
| " <th>tBodyAcc-mean()-Z</th>\n", | |
| " <th>tBodyAcc-std()-X</th>\n", | |
| " <th>tBodyAcc-std()-Y</th>\n", | |
| " <th>tBodyAcc-std()-Z</th>\n", | |
| " <th>tBodyAcc-mad()-X</th>\n", | |
| " <th>tBodyAcc-mad()-Y</th>\n", | |
| " <th>tBodyAcc-mad()-Z</th>\n", | |
| " <th>tBodyAcc-max()-X</th>\n", | |
| " <th>...</th>\n", | |
| " <th>fBodyBodyGyroJerkMag-kurtosis()</th>\n", | |
| " <th>angle(tBodyAccMean,gravity)</th>\n", | |
| " <th>angle(tBodyAccJerkMean),gravityMean)</th>\n", | |
| " <th>angle(tBodyGyroMean,gravityMean)</th>\n", | |
| " <th>angle(tBodyGyroJerkMean,gravityMean)</th>\n", | |
| " <th>angle(X,gravityMean)</th>\n", | |
| " <th>angle(Y,gravityMean)</th>\n", | |
| " <th>angle(Z,gravityMean)</th>\n", | |
| " <th>subject</th>\n", | |
| " <th>Activity</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>0.257178</td>\n", | |
| " <td>-0.023285</td>\n", | |
| " <td>-0.014654</td>\n", | |
| " <td>-0.938404</td>\n", | |
| " <td>-0.920091</td>\n", | |
| " <td>-0.667683</td>\n", | |
| " <td>-0.952501</td>\n", | |
| " <td>-0.925249</td>\n", | |
| " <td>-0.674302</td>\n", | |
| " <td>-0.894088</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.705974</td>\n", | |
| " <td>0.006462</td>\n", | |
| " <td>0.162920</td>\n", | |
| " <td>-0.825886</td>\n", | |
| " <td>0.271151</td>\n", | |
| " <td>-0.720009</td>\n", | |
| " <td>0.276801</td>\n", | |
| " <td>-0.057978</td>\n", | |
| " <td>2</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>0.286027</td>\n", | |
| " <td>-0.013163</td>\n", | |
| " <td>-0.119083</td>\n", | |
| " <td>-0.975415</td>\n", | |
| " <td>-0.967458</td>\n", | |
| " <td>-0.944958</td>\n", | |
| " <td>-0.986799</td>\n", | |
| " <td>-0.968401</td>\n", | |
| " <td>-0.945823</td>\n", | |
| " <td>-0.894088</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.594944</td>\n", | |
| " <td>-0.083495</td>\n", | |
| " <td>0.017500</td>\n", | |
| " <td>-0.434375</td>\n", | |
| " <td>0.920593</td>\n", | |
| " <td>-0.698091</td>\n", | |
| " <td>0.281343</td>\n", | |
| " <td>-0.083898</td>\n", | |
| " <td>2</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>0.275485</td>\n", | |
| " <td>-0.026050</td>\n", | |
| " <td>-0.118152</td>\n", | |
| " <td>-0.993819</td>\n", | |
| " <td>-0.969926</td>\n", | |
| " <td>-0.962748</td>\n", | |
| " <td>-0.994403</td>\n", | |
| " <td>-0.970735</td>\n", | |
| " <td>-0.963483</td>\n", | |
| " <td>-0.939260</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.640736</td>\n", | |
| " <td>-0.034956</td>\n", | |
| " <td>0.202302</td>\n", | |
| " <td>0.064103</td>\n", | |
| " <td>0.145068</td>\n", | |
| " <td>-0.702771</td>\n", | |
| " <td>0.280083</td>\n", | |
| " <td>-0.079346</td>\n", | |
| " <td>2</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>0.270298</td>\n", | |
| " <td>-0.032614</td>\n", | |
| " <td>-0.117520</td>\n", | |
| " <td>-0.994743</td>\n", | |
| " <td>-0.973268</td>\n", | |
| " <td>-0.967091</td>\n", | |
| " <td>-0.995274</td>\n", | |
| " <td>-0.974471</td>\n", | |
| " <td>-0.968897</td>\n", | |
| " <td>-0.938610</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.736124</td>\n", | |
| " <td>-0.017067</td>\n", | |
| " <td>0.154438</td>\n", | |
| " <td>0.340134</td>\n", | |
| " <td>0.296407</td>\n", | |
| " <td>-0.698954</td>\n", | |
| " <td>0.284114</td>\n", | |
| " <td>-0.077108</td>\n", | |
| " <td>2</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>0.274833</td>\n", | |
| " <td>-0.027848</td>\n", | |
| " <td>-0.129527</td>\n", | |
| " <td>-0.993852</td>\n", | |
| " <td>-0.967445</td>\n", | |
| " <td>-0.978295</td>\n", | |
| " <td>-0.994111</td>\n", | |
| " <td>-0.965953</td>\n", | |
| " <td>-0.977346</td>\n", | |
| " <td>-0.938610</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.846595</td>\n", | |
| " <td>-0.002223</td>\n", | |
| " <td>-0.040046</td>\n", | |
| " <td>0.736715</td>\n", | |
| " <td>-0.118545</td>\n", | |
| " <td>-0.692245</td>\n", | |
| " <td>0.290722</td>\n", | |
| " <td>-0.073857</td>\n", | |
| " <td>2</td>\n", | |
| " <td>STANDING</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2942</th>\n", | |
| " <td>0.310155</td>\n", | |
| " <td>-0.053391</td>\n", | |
| " <td>-0.099109</td>\n", | |
| " <td>-0.287866</td>\n", | |
| " <td>-0.140589</td>\n", | |
| " <td>-0.215088</td>\n", | |
| " <td>-0.356083</td>\n", | |
| " <td>-0.148775</td>\n", | |
| " <td>-0.232057</td>\n", | |
| " <td>0.185361</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.750809</td>\n", | |
| " <td>-0.337422</td>\n", | |
| " <td>0.346295</td>\n", | |
| " <td>0.884904</td>\n", | |
| " <td>-0.698885</td>\n", | |
| " <td>-0.651732</td>\n", | |
| " <td>0.274627</td>\n", | |
| " <td>0.184784</td>\n", | |
| " <td>24</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2943</th>\n", | |
| " <td>0.363385</td>\n", | |
| " <td>-0.039214</td>\n", | |
| " <td>-0.105915</td>\n", | |
| " <td>-0.305388</td>\n", | |
| " <td>0.028148</td>\n", | |
| " <td>-0.196373</td>\n", | |
| " <td>-0.373540</td>\n", | |
| " <td>-0.030036</td>\n", | |
| " <td>-0.270237</td>\n", | |
| " <td>0.185361</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.700274</td>\n", | |
| " <td>-0.736701</td>\n", | |
| " <td>-0.372889</td>\n", | |
| " <td>-0.657421</td>\n", | |
| " <td>0.322549</td>\n", | |
| " <td>-0.655181</td>\n", | |
| " <td>0.273578</td>\n", | |
| " <td>0.182412</td>\n", | |
| " <td>24</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2944</th>\n", | |
| " <td>0.349966</td>\n", | |
| " <td>0.030077</td>\n", | |
| " <td>-0.115788</td>\n", | |
| " <td>-0.329638</td>\n", | |
| " <td>-0.042143</td>\n", | |
| " <td>-0.250181</td>\n", | |
| " <td>-0.388017</td>\n", | |
| " <td>-0.133257</td>\n", | |
| " <td>-0.347029</td>\n", | |
| " <td>0.007471</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.467179</td>\n", | |
| " <td>-0.181560</td>\n", | |
| " <td>0.088574</td>\n", | |
| " <td>0.696663</td>\n", | |
| " <td>0.363139</td>\n", | |
| " <td>-0.655357</td>\n", | |
| " <td>0.274479</td>\n", | |
| " <td>0.181184</td>\n", | |
| " <td>24</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2945</th>\n", | |
| " <td>0.237594</td>\n", | |
| " <td>0.018467</td>\n", | |
| " <td>-0.096499</td>\n", | |
| " <td>-0.323114</td>\n", | |
| " <td>-0.229775</td>\n", | |
| " <td>-0.207574</td>\n", | |
| " <td>-0.392380</td>\n", | |
| " <td>-0.279610</td>\n", | |
| " <td>-0.289477</td>\n", | |
| " <td>0.007471</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.617737</td>\n", | |
| " <td>0.444558</td>\n", | |
| " <td>-0.819188</td>\n", | |
| " <td>0.929294</td>\n", | |
| " <td>-0.008398</td>\n", | |
| " <td>-0.659719</td>\n", | |
| " <td>0.264782</td>\n", | |
| " <td>0.187563</td>\n", | |
| " <td>24</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2946</th>\n", | |
| " <td>0.153627</td>\n", | |
| " <td>-0.018437</td>\n", | |
| " <td>-0.137018</td>\n", | |
| " <td>-0.330046</td>\n", | |
| " <td>-0.195253</td>\n", | |
| " <td>-0.164339</td>\n", | |
| " <td>-0.430974</td>\n", | |
| " <td>-0.218295</td>\n", | |
| " <td>-0.229933</td>\n", | |
| " <td>-0.111527</td>\n", | |
| " <td>...</td>\n", | |
| " <td>-0.436940</td>\n", | |
| " <td>0.598808</td>\n", | |
| " <td>-0.287951</td>\n", | |
| " <td>0.876030</td>\n", | |
| " <td>-0.024965</td>\n", | |
| " <td>-0.660080</td>\n", | |
| " <td>0.263936</td>\n", | |
| " <td>0.188103</td>\n", | |
| " <td>24</td>\n", | |
| " <td>WALKING_UPSTAIRS</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>2947 rows × 563 columns</p>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| " tBodyAcc-mean()-X tBodyAcc-mean()-Y tBodyAcc-mean()-Z \\\n", | |
| "0 0.257178 -0.023285 -0.014654 \n", | |
| "1 0.286027 -0.013163 -0.119083 \n", | |
| "2 0.275485 -0.026050 -0.118152 \n", | |
| "3 0.270298 -0.032614 -0.117520 \n", | |
| "4 0.274833 -0.027848 -0.129527 \n", | |
| "... ... ... ... \n", | |
| "2942 0.310155 -0.053391 -0.099109 \n", | |
| "2943 0.363385 -0.039214 -0.105915 \n", | |
| "2944 0.349966 0.030077 -0.115788 \n", | |
| "2945 0.237594 0.018467 -0.096499 \n", | |
| "2946 0.153627 -0.018437 -0.137018 \n", | |
| "\n", | |
| " tBodyAcc-std()-X tBodyAcc-std()-Y tBodyAcc-std()-Z tBodyAcc-mad()-X \\\n", | |
| "0 -0.938404 -0.920091 -0.667683 -0.952501 \n", | |
| "1 -0.975415 -0.967458 -0.944958 -0.986799 \n", | |
| "2 -0.993819 -0.969926 -0.962748 -0.994403 \n", | |
| "3 -0.994743 -0.973268 -0.967091 -0.995274 \n", | |
| "4 -0.993852 -0.967445 -0.978295 -0.994111 \n", | |
| "... ... ... ... ... \n", | |
| "2942 -0.287866 -0.140589 -0.215088 -0.356083 \n", | |
| "2943 -0.305388 0.028148 -0.196373 -0.373540 \n", | |
| "2944 -0.329638 -0.042143 -0.250181 -0.388017 \n", | |
| "2945 -0.323114 -0.229775 -0.207574 -0.392380 \n", | |
| "2946 -0.330046 -0.195253 -0.164339 -0.430974 \n", | |
| "\n", | |
| " tBodyAcc-mad()-Y tBodyAcc-mad()-Z tBodyAcc-max()-X ... \\\n", | |
| "0 -0.925249 -0.674302 -0.894088 ... \n", | |
| "1 -0.968401 -0.945823 -0.894088 ... \n", | |
| "2 -0.970735 -0.963483 -0.939260 ... \n", | |
| "3 -0.974471 -0.968897 -0.938610 ... \n", | |
| "4 -0.965953 -0.977346 -0.938610 ... \n", | |
| "... ... ... ... ... \n", | |
| "2942 -0.148775 -0.232057 0.185361 ... \n", | |
| "2943 -0.030036 -0.270237 0.185361 ... \n", | |
| "2944 -0.133257 -0.347029 0.007471 ... \n", | |
| "2945 -0.279610 -0.289477 0.007471 ... \n", | |
| "2946 -0.218295 -0.229933 -0.111527 ... \n", | |
| "\n", | |
| " fBodyBodyGyroJerkMag-kurtosis() angle(tBodyAccMean,gravity) \\\n", | |
| "0 -0.705974 0.006462 \n", | |
| "1 -0.594944 -0.083495 \n", | |
| "2 -0.640736 -0.034956 \n", | |
| "3 -0.736124 -0.017067 \n", | |
| "4 -0.846595 -0.002223 \n", | |
| "... ... ... \n", | |
| "2942 -0.750809 -0.337422 \n", | |
| "2943 -0.700274 -0.736701 \n", | |
| "2944 -0.467179 -0.181560 \n", | |
| "2945 -0.617737 0.444558 \n", | |
| "2946 -0.436940 0.598808 \n", | |
| "\n", | |
| " angle(tBodyAccJerkMean),gravityMean) angle(tBodyGyroMean,gravityMean) \\\n", | |
| "0 0.162920 -0.825886 \n", | |
| "1 0.017500 -0.434375 \n", | |
| "2 0.202302 0.064103 \n", | |
| "3 0.154438 0.340134 \n", | |
| "4 -0.040046 0.736715 \n", | |
| "... ... ... \n", | |
| "2942 0.346295 0.884904 \n", | |
| "2943 -0.372889 -0.657421 \n", | |
| "2944 0.088574 0.696663 \n", | |
| "2945 -0.819188 0.929294 \n", | |
| "2946 -0.287951 0.876030 \n", | |
| "\n", | |
| " angle(tBodyGyroJerkMean,gravityMean) angle(X,gravityMean) \\\n", | |
| "0 0.271151 -0.720009 \n", | |
| "1 0.920593 -0.698091 \n", | |
| "2 0.145068 -0.702771 \n", | |
| "3 0.296407 -0.698954 \n", | |
| "4 -0.118545 -0.692245 \n", | |
| "... ... ... \n", | |
| "2942 -0.698885 -0.651732 \n", | |
| "2943 0.322549 -0.655181 \n", | |
| "2944 0.363139 -0.655357 \n", | |
| "2945 -0.008398 -0.659719 \n", | |
| "2946 -0.024965 -0.660080 \n", | |
| "\n", | |
| " angle(Y,gravityMean) angle(Z,gravityMean) subject Activity \n", | |
| "0 0.276801 -0.057978 2 STANDING \n", | |
| "1 0.281343 -0.083898 2 STANDING \n", | |
| "2 0.280083 -0.079346 2 STANDING \n", | |
| "3 0.284114 -0.077108 2 STANDING \n", | |
| "4 0.290722 -0.073857 2 STANDING \n", | |
| "... ... ... ... ... \n", | |
| "2942 0.274627 0.184784 24 WALKING_UPSTAIRS \n", | |
| "2943 0.273578 0.182412 24 WALKING_UPSTAIRS \n", | |
| "2944 0.274479 0.181184 24 WALKING_UPSTAIRS \n", | |
| "2945 0.264782 0.187563 24 WALKING_UPSTAIRS \n", | |
| "2946 0.263936 0.188103 24 WALKING_UPSTAIRS \n", | |
| "\n", | |
| "[2947 rows x 563 columns]" | |
| ] | |
| }, | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "test" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "test_cols = test.iloc[:,0:561]\n", | |
| "test_labels = test.iloc[:,562]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "X_test = select_feats.transform(test_cols)\n", | |
| "y_test = test_labels.to_numpy()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.93648925" | |
| ] | |
| }, | |
| "execution_count": 20, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "test.iloc[0][40]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array([ 0.93648925, 0.90608259, 0.9444614 , 0.82929682, -0.08517415,\n", | |
| " -0.12955231, -0.33967327, -0.4706616 , -0.6721718 , -0.48461929])" | |
| ] | |
| }, | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "X_test[0]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "-0.12955231" | |
| ] | |
| }, | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "test.iloc[0][234]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Методи од машинското учење" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Support Vector Machine" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "SVC(C=1.0, break_ties=False, cache_size=200, class_weight=None, coef0=0.0,\n", | |
| " decision_function_shape='ovr', degree=3, gamma='scale', kernel='rbf',\n", | |
| " max_iter=-1, probability=False, random_state=None, shrinking=True,\n", | |
| " tol=0.001, verbose=False)" | |
| ] | |
| }, | |
| "execution_count": 23, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "svmClassifier = svm.SVC()\n", | |
| "svmClassifier.fit(X_train, y_train)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array(['STANDING'], dtype=object)" | |
| ] | |
| }, | |
| "execution_count": 24, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "svmClassifier.predict(X_test[:1])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 25, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "'STANDING'" | |
| ] | |
| }, | |
| "execution_count": 25, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "y_test[0]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 26, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7444859178825924" | |
| ] | |
| }, | |
| "execution_count": 26, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "svmClassifier.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 27, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True,\n", | |
| " intercept_scaling=1, loss='squared_hinge', max_iter=1000,\n", | |
| " multi_class='ovr', penalty='l2', random_state=None, tol=0.0001,\n", | |
| " verbose=0)" | |
| ] | |
| }, | |
| "execution_count": 27, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "linear_svmClassifier = svm.LinearSVC()\n", | |
| "linear_svmClassifier.fit(X_train, y_train)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 28, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "y_pred_linearSVM = linear_svmClassifier.predict(X_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 29, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7519511367492365" | |
| ] | |
| }, | |
| "execution_count": 29, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "linear_svmClassifier.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### k Nearest Neightbors" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 30, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "NearestCentroid(metric='euclidean', shrink_threshold=None)" | |
| ] | |
| }, | |
| "execution_count": 30, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "knnClassifier = NearestCentroid()\n", | |
| "knnClassifier.fit(X_train, y_train)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 31, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "y_pred_kNN = knnClassifier.predict(X_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 32, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.6871394638615541" | |
| ] | |
| }, | |
| "execution_count": 32, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "knnClassifier.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Наивен Баесов класификатор" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 33, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "GaussianNB(priors=None, var_smoothing=1e-09)" | |
| ] | |
| }, | |
| "execution_count": 33, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nbClassifier = GaussianNB()\n", | |
| "nbClassifier.fit(X_train, y_train)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 34, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7081778079402783" | |
| ] | |
| }, | |
| "execution_count": 34, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nbClassifier.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 35, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "y_pred_NB = nbClassifier.predict(X_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 36, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "array(['STANDING', 'STANDING', 'STANDING', ..., 'WALKING_UPSTAIRS',\n", | |
| " 'WALKING_UPSTAIRS', 'WALKING_UPSTAIRS'], dtype='<U18')" | |
| ] | |
| }, | |
| "execution_count": 36, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "y_pred_NB" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 37, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING SITTING\n", | |
| "STANDING STANDING\n", | |
| "STANDING SITTING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING WALKING_UPSTAIRS\n", | |
| "SITTING WALKING_UPSTAIRS\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_UPSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_UPSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_UPSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_UPSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING SITTING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "STANDING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING_UPSTAIRS\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING_DOWNSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "STANDING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING SITTING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "SITTING STANDING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "LAYING LAYING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING\n", | |
| "WALKING WALKING_UPSTAIRS\n", | |
| "WALKING WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_DOWNSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n", | |
| "WALKING_UPSTAIRS WALKING_UPSTAIRS\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "for true, pred in zip(y_test, y_pred_NB):\n", | |
| " print(true, pred)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Дрва на одлука" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Класификација со дрво на одлука. Во првиот пример за оценување на поделбите се користи gini, а во вториот ентропија. " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 38, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini',\n", | |
| " max_depth=None, max_features=None, max_leaf_nodes=None,\n", | |
| " min_impurity_decrease=0.0, min_impurity_split=None,\n", | |
| " min_samples_leaf=1, min_samples_split=2,\n", | |
| " min_weight_fraction_leaf=0.0, presort='deprecated',\n", | |
| " random_state=0, splitter='best')" | |
| ] | |
| }, | |
| "execution_count": 38, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "dtClassifier = tree.DecisionTreeClassifier(random_state=0)\n", | |
| "dtClassifier.fit(X_train, y_train)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 39, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7010519172039362" | |
| ] | |
| }, | |
| "execution_count": 39, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "dtClassifier.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 40, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.6959619952494062" | |
| ] | |
| }, | |
| "execution_count": 40, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "dtClassifierEntropy = tree.DecisionTreeClassifier(criterion='entropy', random_state = 0)\n", | |
| "dtClassifierEntropy.fit(X_train, y_train)\n", | |
| "dtClassifierEntropy.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Класификација со случајна шума - комбинација на повеќе дрва на одлука." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 41, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n", | |
| " criterion='gini', max_depth=None, max_features='auto',\n", | |
| " max_leaf_nodes=None, max_samples=None,\n", | |
| " min_impurity_decrease=0.0, min_impurity_split=None,\n", | |
| " min_samples_leaf=1, min_samples_split=2,\n", | |
| " min_weight_fraction_leaf=0.0, n_estimators=100,\n", | |
| " n_jobs=None, oob_score=False, random_state=0, verbose=0,\n", | |
| " warm_start=False)" | |
| ] | |
| }, | |
| "execution_count": 41, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "randForestClassifier = RandomForestClassifier(random_state=0)\n", | |
| "randForestClassifier.fit(X_train, y_train)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 42, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7468612147947065" | |
| ] | |
| }, | |
| "execution_count": 42, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "randForestClassifier.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Класификација со случајна шума со ограничена длабочина на дрво." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 43, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.5581947743467933" | |
| ] | |
| }, | |
| "execution_count": 43, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "randForestClassifierLimited = RandomForestClassifier(max_depth=2, random_state=0)\n", | |
| "randForestClassifierLimited.fit(X_train, y_train)\n", | |
| "randForestClassifierLimited.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "### Невронски мрежи" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Класификација со повеќеслоен перцептрон и можни вредности на влезните аргументи.\n", | |
| "- hidden_layer_sizes: број на неврони во секој од скриените слоеви. Се внесуваат како подредени торки, при што секој елемент го претставува бројот на неврони во еден слој (default = 100)\n", | |
| "- solver: решавач за оптимизација на тежините. lbfgs е особено погоден за помали множества, а adam е добар кога тренирачкото множество е големо (со илјадници примероци) (default = adam)\n", | |
| "- activation: активациска функција (default = relu)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 44, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "C:\\Users\\PC\\Anaconda3\\lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:571: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n", | |
| " % self.max_iter, ConvergenceWarning)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7512724804886325" | |
| ] | |
| }, | |
| "execution_count": 44, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nnClassifier = MLPClassifier(random_state=0)\n", | |
| "nnClassifier.fit(X_train, y_train)\n", | |
| "nnClassifier.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 45, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "C:\\Users\\PC\\Anaconda3\\lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:470: ConvergenceWarning: lbfgs failed to converge (status=1):\n", | |
| "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", | |
| "\n", | |
| "Increase the number of iterations (max_iter) or scale the data as shown in:\n", | |
| " https://scikit-learn.org/stable/modules/preprocessing.html\n", | |
| " self.n_iter_ = _check_optimize_result(\"lbfgs\", opt_res, self.max_iter)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7648456057007126" | |
| ] | |
| }, | |
| "execution_count": 45, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nnClassifier5 = MLPClassifier(random_state=0, hidden_layer_sizes=(5,), solver='lbfgs')\n", | |
| "nnClassifier5.fit(X_train, y_train)\n", | |
| "nnClassifier5.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 46, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "C:\\Users\\PC\\Anaconda3\\lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:571: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n", | |
| " % self.max_iter, ConvergenceWarning)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7370206990159485" | |
| ] | |
| }, | |
| "execution_count": 46, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nnClassifier5 = MLPClassifier(random_state=0, hidden_layer_sizes=(5,), solver='adam')\n", | |
| "nnClassifier5.fit(X_train, y_train)\n", | |
| "nnClassifier5.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 47, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "C:\\Users\\PC\\Anaconda3\\lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:470: ConvergenceWarning: lbfgs failed to converge (status=1):\n", | |
| "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", | |
| "\n", | |
| "Increase the number of iterations (max_iter) or scale the data as shown in:\n", | |
| " https://scikit-learn.org/stable/modules/preprocessing.html\n", | |
| " self.n_iter_ = _check_optimize_result(\"lbfgs\", opt_res, self.max_iter)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.6603325415676959" | |
| ] | |
| }, | |
| "execution_count": 47, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nnClassifier2 = MLPClassifier(random_state=0, hidden_layer_sizes=(5,5), solver='lbfgs')\n", | |
| "nnClassifier2.fit(X_train, y_train)\n", | |
| "nnClassifier2.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 48, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "C:\\Users\\PC\\Anaconda3\\lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:470: ConvergenceWarning: lbfgs failed to converge (status=1):\n", | |
| "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", | |
| "\n", | |
| "Increase the number of iterations (max_iter) or scale the data as shown in:\n", | |
| " https://scikit-learn.org/stable/modules/preprocessing.html\n", | |
| " self.n_iter_ = _check_optimize_result(\"lbfgs\", opt_res, self.max_iter)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7543264336613505" | |
| ] | |
| }, | |
| "execution_count": 48, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nnClassifier20 = MLPClassifier(random_state=0, hidden_layer_sizes=(20,), solver='lbfgs')\n", | |
| "nnClassifier20.fit(X_train, y_train)\n", | |
| "nnClassifier20.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 49, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "C:\\Users\\PC\\Anaconda3\\lib\\site-packages\\sklearn\\neural_network\\_multilayer_perceptron.py:470: ConvergenceWarning: lbfgs failed to converge (status=1):\n", | |
| "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", | |
| "\n", | |
| "Increase the number of iterations (max_iter) or scale the data as shown in:\n", | |
| " https://scikit-learn.org/stable/modules/preprocessing.html\n", | |
| " self.n_iter_ = _check_optimize_result(\"lbfgs\", opt_res, self.max_iter)\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7678995588734306" | |
| ] | |
| }, | |
| "execution_count": 49, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nnClassifierTan = MLPClassifier(random_state=0, hidden_layer_sizes=(20,), solver='lbfgs', activation='tanh')\n", | |
| "nnClassifierTan.fit(X_train, y_train)\n", | |
| "nnClassifierTan.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 50, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "0.7597556837461825" | |
| ] | |
| }, | |
| "execution_count": 50, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "nnClassifierTan = MLPClassifier(random_state=0, hidden_layer_sizes=(20,), solver='adam', activation='tanh', max_iter=700)\n", | |
| "nnClassifierTan.fit(X_train, y_train)\n", | |
| "nnClassifierTan.score(X_test, y_test)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "#### Tensorflow и Keras" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Библиотеките Tensorflow и Keras овозможуваат работа со невронски мрежи од секој тип, односно и додавање на слоеви со различни активациски функции, како и градење на рекурентни и конволуциски невронски мрежи. Конволуциските невронски мрежи се особено соодветни за обработка на слики, што е тип на податоци кој често се појавува и наоѓа примена во областа на AAL." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 51, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import tensorflow as tf\n", | |
| "from tensorflow import keras\n", | |
| "from tensorflow.keras import layers\n", | |
| "from tensorflow.keras.models import Model, Sequential\n", | |
| "from tensorflow.keras.layers import Input, Dense" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 52, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 53, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "a = Input(shape=(10,))\n", | |
| "x = Dense(64, activation='relu')(a)\n", | |
| "x = Dense(125, activation='relu')(x)\n", | |
| "x = Dense(512, activation='relu')(x)\n", | |
| "b = Dense(6, activation='softmax')(x) #6 classes\n", | |
| "model = Model(inputs=a, outputs=b)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 54, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "model.compile(loss='sparse_categorical_crossentropy',\n", | |
| " optimizer='adam',\n", | |
| " metrics=['accuracy'])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Податоците тука мора да се претворат во нумерички формат. Во овој случај, само е потребно тоа да се направи кај класата." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 55, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "classes = label.unique()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 56, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "classes_dict = {'STANDING':0, 'SITTING':1, 'LAYING':2, 'WALKING':3, 'WALKING_DOWNSTAIRS':4,\n", | |
| " 'WALKING_UPSTAIRS':5}" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 57, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "y_train_new = []\n", | |
| "for sample in y_train:\n", | |
| " y_train_new.append(classes_dict[sample])\n", | |
| "y_train_new = np.array(y_train_new)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 58, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "y_test_new = []\n", | |
| "for sample in y_test:\n", | |
| " y_test_new.append(classes_dict[sample])\n", | |
| "y_test_new = np.array(y_test_new)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 59, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| "230/230 [==============================] - 3s 5ms/step - loss: 0.7170 - accuracy: 0.6289\n", | |
| "Epoch 2/10\n", | |
| "230/230 [==============================] - 1s 4ms/step - loss: 0.5704 - accuracy: 0.7087\n", | |
| "Epoch 3/10\n", | |
| "230/230 [==============================] - 1s 4ms/step - loss: 0.5289 - accuracy: 0.7349\n", | |
| "Epoch 4/10\n", | |
| "230/230 [==============================] - 1s 4ms/step - loss: 0.5143 - accuracy: 0.7486\n", | |
| "Epoch 5/10\n", | |
| "230/230 [==============================] - 1s 4ms/step - loss: 0.5077 - accuracy: 0.7477\n", | |
| "Epoch 6/10\n", | |
| "230/230 [==============================] - 1s 4ms/step - loss: 0.4991 - accuracy: 0.7490\n", | |
| "Epoch 7/10\n", | |
| "230/230 [==============================] - 1s 4ms/step - loss: 0.4949 - accuracy: 0.7549\n", | |
| "Epoch 8/10\n", | |
| "230/230 [==============================] - 1s 4ms/step - loss: 0.4841 - accuracy: 0.7601: 0s - loss:\n", | |
| "Epoch 9/10\n", | |
| "230/230 [==============================] - 1s 4ms/step - loss: 0.4821 - accuracy: 0.7594\n", | |
| "Epoch 10/10\n", | |
| "230/230 [==============================] - 1s 3ms/step - loss: 0.4728 - accuracy: 0.7573\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<tensorflow.python.keras.callbacks.History at 0x289e3758470>" | |
| ] | |
| }, | |
| "execution_count": 59, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "model.fit(X_train, y_train_new, \n", | |
| " batch_size=32, epochs=10, verbose=1)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 60, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "93/93 [==============================] - 0s 2ms/step - loss: 0.5101 - accuracy: 0.7350\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "[0.5101351141929626, 0.7349847555160522]" | |
| ] | |
| }, | |
| "execution_count": 60, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "model.evaluate(X_test, y_test_new, batch_size=32, verbose=1)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 61, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| "230/230 [==============================] - 1s 2ms/step - loss: 0.9916 - accuracy: 0.5796\n", | |
| "Epoch 2/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.6972 - accuracy: 0.6670\n", | |
| "Epoch 3/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.6510 - accuracy: 0.6892\n", | |
| "Epoch 4/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.6231 - accuracy: 0.6952\n", | |
| "Epoch 5/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.5990 - accuracy: 0.7100\n", | |
| "Epoch 6/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.5809 - accuracy: 0.7210\n", | |
| "Epoch 7/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.5662 - accuracy: 0.7300\n", | |
| "Epoch 8/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.5551 - accuracy: 0.7286\n", | |
| "Epoch 9/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.5445 - accuracy: 0.7380\n", | |
| "Epoch 10/10\n", | |
| "230/230 [==============================] - 0s 2ms/step - loss: 0.5366 - accuracy: 0.7442\n", | |
| "93/93 [==============================] - 0s 1ms/step - loss: 0.5575 - accuracy: 0.7323\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "[0.5574547648429871, 0.7322701215744019]" | |
| ] | |
| }, | |
| "execution_count": 61, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "a = Input(shape=(10,))\n", | |
| "x = Dense(64, activation='relu')(a)\n", | |
| "b = Dense(6, activation='softmax')(x) #6 classes\n", | |
| "model = Model(inputs=a, outputs=b)\n", | |
| "model.compile(loss='sparse_categorical_crossentropy',\n", | |
| " optimizer='adam',\n", | |
| " metrics=['accuracy'])\n", | |
| "model.fit(X_train, y_train_new, \n", | |
| " batch_size=32, epochs=10, verbose=1)\n", | |
| "model.evaluate(X_test, y_test_new, batch_size=32, verbose=1)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 62, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "from tensorflow.keras.layers import Conv1D, LSTM, MaxPooling1D" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 63, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Epoch 1/10\n", | |
| "230/230 [==============================] - 5s 8ms/step - loss: 7.4888 - accuracy: 0.1523\n", | |
| "Epoch 2/10\n", | |
| "230/230 [==============================] - 2s 9ms/step - loss: 7.4888 - accuracy: 0.1678\n", | |
| "Epoch 3/10\n", | |
| "230/230 [==============================] - 2s 8ms/step - loss: 7.4888 - accuracy: 0.1616\n", | |
| "Epoch 4/10\n", | |
| "230/230 [==============================] - 2s 8ms/step - loss: 7.4888 - accuracy: 0.1657: 0s - loss: 7\n", | |
| "Epoch 5/10\n", | |
| "230/230 [==============================] - 2s 8ms/step - loss: 7.4888 - accuracy: 0.1693\n", | |
| "Epoch 6/10\n", | |
| "230/230 [==============================] - 2s 8ms/step - loss: 7.4888 - accuracy: 0.1654\n", | |
| "Epoch 7/10\n", | |
| "230/230 [==============================] - 2s 7ms/step - loss: 7.4888 - accuracy: 0.1741\n", | |
| "Epoch 8/10\n", | |
| "230/230 [==============================] - 2s 7ms/step - loss: 7.4888 - accuracy: 0.1662\n", | |
| "Epoch 9/10\n", | |
| "230/230 [==============================] - 2s 8ms/step - loss: 7.4888 - accuracy: 0.1677\n", | |
| "Epoch 10/10\n", | |
| "230/230 [==============================] - 2s 9ms/step - loss: 7.4888 - accuracy: 0.1722\n" | |
| ] | |
| }, | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<tensorflow.python.keras.callbacks.History at 0x289e5ccda90>" | |
| ] | |
| }, | |
| "execution_count": 63, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "model = Sequential()\n", | |
| "model.add(Conv1D(filters=256, kernel_size=5, padding='same', activation='relu',\n", | |
| " input_shape=(10, 1)))\n", | |
| "model.add(MaxPooling1D(pool_size=4))\n", | |
| "model.add(LSTM(64))\n", | |
| "model.add(Dense(units=10, activation='relu'))\n", | |
| "model.add(Dense(units=6, activation='softmax'))\n", | |
| "\n", | |
| "model.compile(optimizer='adam', loss='mean_squared_error', metrics=['accuracy'])\n", | |
| "\n", | |
| "X_train_conv = tf.expand_dims(X_train, axis=-1)\n", | |
| "\n", | |
| "model.fit(X_train_conv, y_train_new, \n", | |
| " batch_size=32, epochs=10, verbose=1)" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.7.3" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 4 | |
| } |
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