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Description
Please add AutoML step that is similar to AdaBoost algorithm. The step will take the out of folds predictions and set sample weight based on it. The samples with highest error on prediction with have the largest sample weight. Based on new sample weight the new model will be trained (with the same hyperparameters).
New name proposal: Boost on Errors
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