ACCURACY ANALYSIS OF THE GRADIENT BOOSTING METHOD WITH RANDOM ROTATIONS
Victor V. Kitov · Statistics and Economics · 2016
Gradient boosting method with random rotations is considered, where before training each base learner random rotation is applied to the feature space. The accuracy metric of the given method is estimated for a broad range of generated problems of binary classification. Obtained results are evaluated and recommendations given for application of this method.