Model Diagnostics, Machine Learning.
Therefore, we have no immediate concerns for the tuned model, even if its performance slightly lags behind that of the underfit model when the perturbation size exceeds 0.2. exp.model_compare(models=[‘XGB2_overfit’, ‘XGB2_underfit’, ‘XGB2_tuned’], show=’robustness_perf’, perturb_size=0.1,