数据建模五大步(以KNeighborsClassifier算法为主)_joblib加载模型kneighborsclassfier

'''
    KNeighborsClassifier
'''
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
import pickle       #pickle模块
from sklearn.externals import joblib    #jbolib模块
from sklearn import preprocessing       #标准化数据模块
from sklearn.cross_validation import cross_val_score # K折交叉验证模块
import matplotlib.pyplot as plt


# 第一步： 加载数据集
iris = datasets.load_iris()            # 加载数据集
iris_X = iris.data
iris_y = iris.target

# 自己制造数据 ***　make_XXX
X, y