Model Diagnostics, Machine Learning.
exp.model_train(model=clf1, name='XGB2_overfit') exp.model_diagnose(model="XGB2_overfit", show='accuracy_table') clf2 = XGB2Classifier(n_estimators=80, max_depth=2, eta = 0.03, reg_alpha = 0.3, reg_lambda = 0.3, max_bin = 256, feature_types = "numerical", random_state=0) exp.model_train(model=clf2,