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existing_model_df['num_week'] = list(range(existing_model_df.shape[0])) existing_model_df = existing_model_df.set_index('num_week')\ .drop(['date', 'segment'], axis = 1) existing_model_df.head() So, for example, if we launch our evaluation test for 10% of random customers, then we expect to get 244