sencagri

#!/usr/bin/python
# -*- coding: utf-8 -*-
import cv2
import numpy as np
from sklearn.naive_bayes import GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from sklearn.neural_network import MLPClassifier

shapeData = list()
label = [4,3,2,2,3,3,4,1,2,1,1,1,1,4,4,1,3,1,2,1,1,3,3,4]

sencagri

from numpy import genfromtxt
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import datasets, svm
from sklearn.ensemble import GradientBoostingClassifier
from sklearn import tree
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score

sencagri

# -*- coding: utf-8 -*-
"""
Created on Fri May 25 00:18:04 2018

@author: Gurcan
"""

#!/usr/bin/env python
# -*- coding: utf-8 -*-
 

sencagri

# -*- coding: utf-8 -*-
"""
Created on Fri May 25 00:18:04 2018

@author: Gurcan
"""

#!/usr/bin/env python
# -*- coding: utf-8 -*-