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shaurya-blip/predict.py

Created March 19, 2021 18:03
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predict.py
# Coefficients
print('Coefficients: \n', regressor.coef_)
# The mean squared error
print("Mean squared error: %.2f" % np.mean((regressor.predict(X_test) - y_test) ** 2))
# Explained variance score: 1 is perfect prediction
print('Variance score: %.2f' % regressor.score(X_test, y_test))
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