multilabelMetrics

Metrics for measuring our multilabel model.

With this package you will have access to the most used metrics

As refered in these papers:

• A review on Multi-label Learning Algorithms
• A unified View of Multi-Label Performance measures

The metrics can be divided as in the image below

Example-based Classification

Subset Accuracy

Hamming Loss

Accuracy

Recall

FBeta

Example-based Ranking

One Error

Coverage

Average precision

Ranking loss

Label-based Metrics Classification

Macro-averaging

Micro-averaging

Accuracy

Precision

Recall

FBeta