April 2019
Intermediate to advanced
426 pages
11h 13m
English
The R2 score is also known as the coefficient of determination, and it measures how well future samples are likely to be predicted by the model. It is written as follows:

Here,
is the mean of actual values and can be written as follows:

R2 scores ranges from negative values to 1.0. A perfect R2 score of 1 implies that there is no error in the regression analysis, while a score of 0 indicates that the model always predicts ...
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