Fig. 4
From: PMLB: a large benchmark suite for machine learning evaluation and comparison
a Biclustering of the 13 ML models and 165 datasets according to the balanced accuracy of the models using their best parameter settings. b Deviation from the mean balanced accuracy across all 13 ML models. Highlights datasets upon which all ML methods performed similarly versus those where certain ML methods performed better or worse than others. c Identifies the boundaries of the 40 contiguous biclusters identified based on the 4 ML-wise clusters by the 10 data-wise clusters