classification

Classification recommendations metrics.

Functions

calc_classification_metrics(metrics, merged)	Calculate any classification metrics.
calc_confusions(merged, k)	Calculate some intermediate metrics from prepared data (it's a helper function).
make_confusions(reco, interactions, k)	Calculate some intermediate metrics from raw data (it's a helper function).

Classes

Accuracy(k)	Ratio of correctly recommended items among all items.
ClassificationMetric(k)	Classification metric base class.
Precision(k)	Ratio of relevant items among top-k recommended items.
Recall(k)	Ratio of relevant recommended items among all items user interacted with after recommendations were made.
SimpleClassificationMetric(k)	Simple classification metric base class.