From the documentation and tutorials for pycaret, I expect the classification.compare_models() function to return a grid such as… Model Accuracy AUC Recall Prec. F1 Kappa MCC TT (Sec) 0 Naive Bayes 0.9567 0.0000 0.9556 0.9619 0.9561 0.9348 0.9378 0.0076 1 K Neighbors Classifier 0.9467 0.0000 0.9444 0.9633 0.9430 0.9197 0.9295 0.0077 2 Extreme Gradient Boosting 0.9467 0.0000 0.9444 0.9633 0.9430