adversarial validationを実装してみた - Qiita

import numpy as np import lightgbm as lgb from sklearn.model_selection import StratifiedKFold params = {'objective': 'binary', 'max_depth': 5, 'boosting': 'gbdt', 'metric': 'auc'} features = [col for col in train_test.columns if col not in ('target',)] oof_pred = np.zeros((len(train_test), )) cv = StratifiedKFold(n_splits=5, shuffle=True, random_state=42) for fold, (train_idx, val_idx) in enumerat