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multilabelMetrics

Metrics for measuring our multilabel model.

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

As refered in these papers:

The metrics can be divided as in the image below

Metrics Taxonomy

Example-based Classification

Subset Accuracy

Subset Accuracy

Hamming Loss

Hamming Loss

Accuracy

Accuracy

Recall

Recall

FBeta

FBeta

Example-based Ranking

One Error

One Error

Coverage

Coverage

Average precision

Average Precision

Ranking loss

Ranking Loss

Label-based Metrics Classification

Macro-averaging

Macro averaging

Micro-averaging

Micro averaging

Accuracy

Accuracy

Precision

Precision

Recall

Recall Recall

FBeta

FBeta

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Metrics for measuring our multilabel model

Topics

python metrics measures multi-label

Resources

Readme

License

GPL-3.0 license
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