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inplace=True) df_agg.drop('user_id', axis=1, inplace=True) # Split the data into train and eval df_train, df_val = train_test_split(df_agg, stratify=df_agg['target'], test_size=0.2) print(f"{len(df_train)} samples in train") df_train, df_val = train_test_split(df_agg, stratify=df_agg['target'],