Model Diagnostics, Machine Learning.
tutorial, let’s take XGBoost (depth 2) with different configurations to get overfit, underfit and tuned models. from piml.models import XGB2Classifier clf1 = XGB2Classifier(n_estimators=1000, max_depth=2, eta = 0.3, max_bin = 256, feature_types = "numerical", random_state=0)