MusInst

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

Top-N Recommendation Accuracy

Rating Prediction Accuracy

Resource Consumption

Time

Memory

Power

Leaderboard Table

This provides quick numeric access to the model results by mean metric. Note, however, that simple means can be misleading!

Top-N Recommendation

		RBP	NDCG	RecipRank
model	variant
popular	default	0.004	0.020	0.018
flexmf-bpr	optuna-best	0.004	0.022	0.017
als-implicit	optuna-best	0.004	0.023	0.016
als-implicit	default	0.003	0.021	0.015
flexmf-warp	optuna-best	0.002	0.013	0.010
flexmf-logistic	optuna-best	0.002	0.012	0.009
als-biased	optuna-best	0.002	0.010	0.006
bias	optuna-best	0.001	0.004	0.004
flexmf-explicit	optuna-best	0.001	0.004	0.003
als-biased	default	0.000	0.002	0.001
flexmf-logistic	default	0.000	0.001	0.000
flexmf-explicit	default	0.000	0.001	0.000
bias	default	0.000	0.001	0.000
flexmf-warp	default	0.000	0.001	0.000
flexmf-bpr	default	0.000	0.001	0.000

Rating Prediction

		RMSE	MAE
model	variant
bias	optuna-best	0.886	0.816
als-biased	default	0.904	0.826
als-biased	optuna-best	0.907	0.831
flexmf-explicit	optuna-best	0.953	0.882
bias	default	0.953	0.871
flexmf-explicit	default	0.988	0.913