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
