from sklearn.linear_model import LinearRegression,Lasso,Ridge

from sklearn.datasets import load_boston

import matplotlib.pyplot as plt

boston=load_boston()

data = boston.data

target = boston.target

x_train = data[:450]

y_train = target[:450]

x_test = data[450:]

y_test = target[450:]

lr = LinearRegression()

rr = Ridge()

lasso = Lasso()

lr.fit(x_train,y_train)

rr.fit(x_train,y_train)

lasso.fit(x_train,y_train)

y_lr = lr.predict(x_test)

y_rr = rr.predict(x_test)

y_lasso = lasso.predict(x_test)

plt.plot(y_test,label='real')

plt.plot(y_lr,label='lr')

plt.plot(y_rr,label='rr')

plt.plot(y_lasso,label='lasso')

plt.legend()

plt.show()