r2_measure module¶
R2 error measure¶
The r2_measure
module
implements the concept of R2 measures for machine learning algorithms.
This concept is implemented through the R2Measure
class
and overloads the MLErrorMeasure._compute_measure()
method.
The R2 is defined by
\[R_2(\hat{y}) = 1  \frac{\sum_i (\hat{y}_i  y_i)^2}
{\sum_i (y_i\bar{y})^2},\]
where \(\hat{y}\) are the predictions, \(y\) are the data points and \(\bar{y}\) is the mean of \(y\).

class
gemseo.mlearning.qual_measure.r2_measure.
R2Measure
(algo)[source]¶ Bases:
gemseo.mlearning.qual_measure.error_measure.MLErrorMeasure
R2 measure for machine learning.
Constructor.
 Parameters
algo (MLAlgo) – machine learning algorithm.