param for the base binary classifier that we reduce multiclass classification into.
param for the base binary classifier that we reduce multiclass classification into. The base classifier input and output columns are ignored in favor of the ones specified in OneVsRest.
The binary classification models for the reduction.
The binary classification models for the reduction. The i-th model is produced by testing the i-th class (taking label 1) vs the rest (taking label 0).
Model produced by OneVsRest. This stores the models resulting from training k binary classifiers: one for each class. Each example is scored against all k models, and the model with the highest score is picked to label the example.