机器学习-数据集类型04

# -*- coding: utf-8 -*-
from sklearn.datasets import load_iris


li = load_iris()

print("获取特征值")
print(li.data)
print("目标值")
print(li.target)
print(li.DESCR)

# -*- coding: utf-8 -*-
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split

li = load_iris()

# print("获取特征值")
# print(li.data)
# print("目标值")
# print(li.target)
# print(li.DESCR)

# 注意返回值，训练集 train  x_train,y_train 测试集 test x_test,y_test
x_train,x_test,y_train,y_test = train_test_split(li.data,li.target,test_size=0.25)
print("训练集特征值和目标值：",x_train,y_train)
print("测试集特征值和目标值：",x_test,y_test)

…

…

# -*- coding: utf-8 -*-
from sklearn.datasets import load_iris,fetch_20newsgroups
from sklearn.model_selection import train_test_split

li = load_iris()

news = fetch_20newsgroups(subset="all")
print(news.data)
print(news.target)

# -*- coding: utf-8 -*-
from sklearn.datasets import load_iris,load_boston
from sklearn.model_selection import train_test_split

li = load_iris()

lb = load_boston()
print("获取特征值")
print(lb.data)
print("获取目标值")
print(lb.target)
print("描述")
print(lb.DESCR)