howard-haowen

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howard-haowen

from sklearn.metrics import classification_report, confusion_matrix
import pandas as pd

def get_df_classification_report(y_test, y_pred, target_names):
    '''Source: https://stackoverflow.com/questions/39662398/scikit-learn-output-metrics-classification-report-into-csv-tab-delimited-format'''
    report = classification_report(y_test, y_pred, output_dict=True, target_names=target_names)
    df = pd.DataFrame(report).transpose()
    return df.round(decimals=3)

# example

howard-haowen

howard-haowen

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score, confusion_matrix
from sklearn.metrics import classification_report
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer

#Are the tags which we are using currently for tagging the sentences