qq_41503713的博客

线性回归import matplotlib.pyplot as pltimport numpy as npfrom sklearn import datasets, linear_modelfrom sklearn.metrics import mean_squared_error, r2_score# Load the diabetes datasetdiabetes_X, diabetes_y = datasets.load_diabetes(return_X_y=True)# Use

iris练习from sklearn.datasets import load_irisiris_data=load_iris()# print("keys:\n{}".format(iris_data.keys())) #data是一个（150,4)形状的数组，target是每组数据被分成的类别，target_name表示具体每个类别的名字# print("data:\n{}".format(iris_data['data'][:5]))# print("target:\n{}".format(