【Python学习】 – sklearn学习 – 数据集分割方法 – 随机划分与K折交叉划分与StratifiedKFold与StratifiedShuffle

一、随机划分 import numpy as np from sklearn import datasets iris = datasets.load_iris() X = iris.data y = iris.target # 1)归一化前,将原始数据分割 from sklearn.model_selection import train_test_split X_train,X_test,y_train,y_test = train_test_split(X, y, test_size=0.2,