用knn算法对鸢尾花数据集进行分类

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsClassifier

def knn_selector():
    
    iris = load_iris()
    
    x_train,x_test,y_train,y_test = train_test_split(iris.data, iris.target, test_size=0.3)
    
    transfer = StandardScaler()
    x_train = transfer.fit_transform(x_train)
    x_test = transfer.transform(x_test)
    
    estimator = KNeighborsClassifier(n_neighbors = 3)
    estimator.fit(x_train, y_train)
    
#      estimator.predict(x_test) 
    score = estimator.score(x_test, y_test)
    
    print("score:  ", score)
    
    
if __name__ == "__main__":
    
    knn_selector()

 

import matplotlib.pyplot as plt
from sk