boston_housing_Scikit-learn

from sklearn.linear_model import LinearRegression
from sklearn.metrics import median_absolute_error, r2_score
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_boston

boston = load_boston()

X_train, X_test, y_train, y_test = train_test_split(boston.data, boston.target, random_state=1)
regr = LinearRegression()
regr.fit(X_train, y_train)
y_pred = regr.predict(X_test)
print(r2_score(y_test, y_pred))
print(median_absolute_error(y_test, y_pred))