CODEWITHSUNDEEP
python
Hannah Montanna
Hannah Montanna

Reputation: 121

How to compute SSE in python

I need to fit a linear model to Wine Quality dataset. And then find MSE for each k-fold. Following is my code 

        regressor = LinearRegression()
        regressor.fit(Features_train, Quality_train)
        scores = cross_val_score(regressor, Features, Quality, cv=10,
             scoring='mean_squared_error') 
         print scores

Problem here is that one or two values of MSE are negative. Following is the scores array:

[-0.47093648 -0.40001874 -0.46928925 -0.4317235  -0.37665658 -0.52359841
 -0.40046081 -0.42944953 -0.36179521 -0.48792052]*

According to the formula, it shoud not be negative.

Upvotes: 1

Views: 7331

Answers (1)

Joel Lee
Joel Lee

Reputation: 1119

Do refer to this thread below: scikit-learn cross validation, negative values with mean squared error

In summary, this is supposed to happen. The actual MSE is simply the positive version of the number you're getting. Hope this helps!

Upvotes: 1

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