ts_feature_engineering_11.py

score_list = []
for fit_col in ["model_1", "model_2", "model_3"]:
	scores = {
    	"model": fit_col,
    	"train_score": mean_absolute_error(
        	results_df.iloc[:TRAIN_END]["actuals"],
        	results_df.iloc[:TRAIN_END][fit_col]
    	),
    	"test_score": mean_absolute_error(
        	results_df.iloc[TRAIN_END:]["actuals"],
        	results_df.iloc[TRAIN_END:][fit_col]
    	)
	}
	score_list.append(scores)
scores_df = pd.DataFrame(score_list)
scores_df