For a target variable
y, it is transformed using
np.log1p. Then a random forest regression model is trained using the transformed
Then I tried to use
sklearn to compute the
neg_mean_absolute_error. The mean of the returned scores is
-0.17. Should I convert it back by using
But the error is too small. As I am predicting housing price. The error should be much larger than this.