Bias on ML100K

This page analyzes the hyperparameter tuning results for the bias model.

Parameter Search Space

Parameter	Type	Distribution	Values
damping.user	Float	LogUniform	0.1 ≤ \(x\) ≤ 100
damping.item	Float	LogUniform	0.1 ≤ \(x\) ≤ 100

Metric Response

How does RMSE change with each setting independently?

User Damping

Item Damping

Best Configurations

Since this is an explicit-feedback rating prediction model, our primary search criteria is RMSE. The configuration with the best RMSE is:

	config.damping.user	config.damping.item	RBP	RMSE
Method
Random	2.238497	7.670537	0.019315	0.881988

If we instead searched for RBP, we would select:

	config.damping.user	config.damping.item	RBP	RMSE
Method
Random	5.125235	96.629343	0.03123	0.906123

Search Geometry

What is the geometry of the search space?