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animesh-agarwal/Rmse.py

Last active September 29, 2018 10:25
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Rmse.py
# mean squared error
mse = np.sum((y_pred - y_actual)**2)
# root mean squared error
# m is the number of training examples
rmse = np.sqrt(mse/m)
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