ML1M Performance Summary

This is a summary view of model performance on the ML1M data set.

	part	split	variant	model	train_task	infer_task	train_time	train_cpu	train_power	infer_time	infer_cpu	infer_power	RBP	NDCG	RecipRank	Hit	RMSE	MAE
0	0	random	default	Bias	9f685b50-bcb7-4231-9fe1-263acb8086c0	339d095a-bd5a-4c1f-9ba6-d8a607f7ada3	0.170948	0.183106	NaN	1.617517	0.916276	209.2	0.023870	0.067068	0.073597	0.563742	0.876387	0.745869
1	1	random	default	Bias	876aeda8-a77c-4fc5-a742-9a76212591c8	471ecf4b-1e6f-46a5-954c-d2052907865e	0.173751	0.175843	NaN	1.594600	0.423777	433.9	0.024466	0.066617	0.074928	0.545530	0.873774	0.738527
2	2	random	default	Bias	4d0be5cf-72f5-477b-9aa4-0b75babdd55a	2bf84f13-c3cc-4ddf-89c1-27f9ab73c6ec	0.173283	0.175232	NaN	1.672397	0.409885	658.6	0.025755	0.067693	0.077056	0.541391	0.877857	0.746379
3	3	random	default	Bias	d750fbc8-13bc-466d-b06a-ddab1cdb5856	c4a5289d-9268-495c-9851-2687bc926bde	0.173028	0.174886	NaN	1.848138	0.479464	658.6	0.020684	0.060757	0.065830	0.525662	0.876596	0.745525
4	4	random	default	Bias	0906ec99-9b04-47ea-818f-81a047a4ff0b	6b3b3ecc-c3f7-4365-bd6a-14082454519e	0.174223	0.176311	NaN	1.667672	0.509490	309.6	0.022392	0.066063	0.070372	0.571192	0.876230	0.746780

Rating Prediction Accuracy