Adaptive Ensemble Undersampling-Boost: A novel learning framework for imbalanced data.

•We propose a framework for imbalanced classification tasks with ensemble learning.•We propose a weight modification method to give each classifier an adaptive weight.•We introduce OTSU algorithm to determine the optimal threshold adaptively.•We make comparisons between our proposals and several state-of-the-art algorithms.