Master-Level Python Assignment Solved: Predicting Housing Prices with Linear Regression

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Sample Question:
Using the Boston Housing Dataset, build a linear regression model in Python to predict housing prices. Include model evaluation using R² and RMSE.

Expert Solution (Snippet):


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

X, y = load_boston(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

model = LinearRegression()
model.fit(X_train, y_train)
y_pred = model.predict(X_test)

print("R²:", r2_score(y_test, y_pred))
print("RMSE:", mean_squared_error(y_test, y_pred, squared=False))
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