ML10M Performance Summary

This is a summary view of model performance on the ML10M 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	valid	temporal	default	Bias	3b002303-3a65-4f2d-b619-1195623f567e	d723c18f-10f6-4764-8d46-262c0e5539ff	1.218694	1.255779	145.2	2.603376	1.458415	435.6	0.149844	0.074115	0.274878	0.820132	0.785497	0.632757
1	test	temporal	default	Bias	191d9298-7433-4de9-a7e6-3d992afa13cb	5befb281-8e11-4712-8c01-3b9e9e4ef4a9	1.495313	1.517718	314.4	2.245157	1.012665	314.4	0.139132	0.065056	0.255065	0.731777	0.800297	0.649631
2	valid	temporal	grid-best	Bias	6625acb5-7a18-48f7-821a-fa1a8ca04615	c41e0a9d-2ce3-4982-930b-046f152b35ec	1.208882	1.234112	146.8	2.215768	1.426207	301.2	0.140963	0.067762	0.264118	0.808251	0.782938	0.629292
3	test	temporal	grid-best	Bias	d0d331f7-0279-4f27-918e-9a651ce7d355	a2d797de-061f-44e7-8a12-275d923c02c0	1.484979	1.506746	308.8	2.548659	1.261893	315.6	0.131303	0.058560	0.244442	0.720588	0.795912	0.644933
4	test	temporal	random-best	Bias	86609322-29da-43b9-9bbd-4a31330887b1	c6801aaf-4dfd-4708-b14a-a9bccb383f1f	1.887132	1.901619	295.0	3.266117	1.970324	620.8	0.131402	0.059441	0.245006	0.720588	0.795993	0.645013

Rating Prediction Accuracy