Scikit-Learn（sklearn）中的LinearRegression（线性回归）对波士顿房价进行预测

线性回归

y=wx+b

from sklearn import datasets
from sklearn.linear_model import LinearRegression
loaded_data = datasets.load_boston()
data_X = loaded_data.data
data_y = loaded_data.target
model = LinearRegression()
model.fit(data_X, data_y)
print(model.coef_)  # 输出权重矩阵
print(model.intercept_)  # 输出偏移量
print(model.score(data_X, data_y))  # 输出准确度

model.coef_函数

输出权重系数w

model.intercept_函数

输出偏移量b