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MariaLavrovskaya/MLR_movies_11.py

Created June 14, 2019 12:07
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MLR_movies_11.py
#Slope for every predictor
df = pd.DataFrame({'Actual': Y_test.values.flatten(), 'Predicted': y_pred.flatten()})
df.head(25)
from sklearn.metrics import mean_squared_error, r2_score
print("Mean squared error: %.2f"
% mean_squared_error(Y_test, y_pred))
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