Abstract: Highlights•AcME, a new interpretability approach for Machine Learning, is proposed.•AcME is a model-agnostic, global and local approach.•AcME allows fast computational time w.r.t. to state-of-the-art approaches.•The effectiveness of AcME is demonstrated on both synthetic and real data.
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