Precision

class rectools.metrics.classification.Precision(k: int)[source]

Ratio of relevant items among top-k recommended items.

The precision@k equals to tp / k where tp is the number of relevant recommendations among first k items in the top of recommendation list.

Parameters: k (int) – Number of items in top of recommendations list that will be used to calculate metric.
Inherited-members

Methods

`calc`(reco, interactions)	Calculate metric value.
`calc_from_confusion_df`(confusion_df)	Calculate metric value from prepared confusion matrix.
`calc_per_user`(reco, interactions)	Calculate metric values for all users.
`calc_per_user_from_confusion_df`(confusion_df)	Calculate metric values for all users from prepared confusion matrix.

Attributes