KNN

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 16 11:26:00 2018

@author: xiaweiyi
"""
from sklearn.datasets import load_iris
iris=load_iris()
#print(iris.data)
print(iris.DESCR)

from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test=train_test_split(iris.data,iris.target,test_size=0.25,random_state=33)

from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsClassifier
ss=StandardScaler()
X_train=ss.fit_transform(X_train)
X_test=ss.transform(X_test)
knc=KNeighborsClassifier()
knc.fit(X_train,y_train)
y_predict=knc.predict(X_test)
print(y_predict)
print('The accuracy of KNN Classifier is',knc.score(X_test,y_test))
from sklearn.metrics import classification_report
print(classification_report(y_test,y_predict,target_names=iris.target_names))
 

 

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