ML25M Performance Summary

This is a summary view of model performance on the ML25M 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	e2b798ff-44cb-4d5c-9566-63fcaa446365	d844d5bf-8c6f-4271-bcb8-e5e2803b9154	3.028597	3.059772	455.6	3.469883	2.259814	440.4	0.143385	0.070875	0.262279	0.752704	0.815976	0.661763
1	test	temporal	default	Bias	cbcc621e-b268-47c8-b010-a6cdd21e6495	6e49a45e-5ec3-4a88-905e-0fa5c8d1b52d	3.780353	3.820491	572.0	4.871075	2.734702	792.0	0.097172	0.050928	0.192547	0.662089	0.835402	0.688162
2	valid	temporal	grid-best	Bias	a7825705-5c37-45cc-8b47-731f8cf135fe	de10264e-6241-47b7-8031-9854b3b93fb2	3.099390	3.128938	438.3	3.063269	2.206935	479.7	0.143046	0.070429	0.261133	0.776855	0.813037	0.658243
3	test	temporal	grid-best	Bias	cf6ba83f-ee06-46b8-ba3b-dab9d1f7e918	3aaa46fc-5624-439c-a3e4-ca48fdf4aced	3.695819	3.737566	618.4	5.160094	2.647310	700.6	0.087144	0.048448	0.174399	0.653757	0.833309	0.684916
4	test	temporal	random-best	Bias	4d5e100e-0c29-47c4-83ae-1f86fec8fcf0	9324551d-a443-48cf-a906-51fe77961c67	4.705755	4.725629	794.9	5.652461	3.415597	2223.0	0.085788	0.047402	0.173555	0.648974	0.834012	0.685182

Rating Prediction Accuracy