from sklearn.datasets import load_iris
data=load_iris() #导入数据和标签
data_X=data.data
data_y=data.target
# 导入模块
from sklearn.model_selection import train_test_split
# 划分为训练集和测试集数据X_train,X_test,y_train,y_test=train_test_split(data_X,data_y,test_size=0.2,random_state=111)
数据特征工程（预处理）
from sklearn.preprocessing import StandardScaler # 标准化
from sklearn.preprocessing import MinMaxScaler # 归一化
# 标准化
ss=StandardScaler()X_scaled=ss.fit_transform(X_train)
# 归一化
mm=MinMaxScaler()X_scaled=mm.fit_transform(X_train)
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