permetrics
PerMetrics: A Framework of Performance Metrics for Machine Learning Models
- regression
- classification
- clustering
- metrics
- performance
- rmse
- mae
- mape
- nse
- nash-sutcliffe-efficiency
- willmott-index
- precision
- accuracy
- recall
- f1
- score
- pearson
- correlation
- coefficient
- r2
- Kling-Gupta
- Efficiency
- Gini
- Matthews
- Cohen's
- Kappa
- Jaccard
- ROC-AUC
- mutual
- information
- rand
- Davies
- Bouldin
- completeness
- Silhouette
- V-measure
- Folkes
- Mallows
- Czekanowski-Dice
- Huber
- Gamma
- Kulczynski
- McNemar
- Phi
- Rogers-Tanimoto
- Russel-Rao
- Sokal-Sneath
- confusion
- matrix
- (PCC)
- spearman
- (SCC)
- analysis
- classification-report
- clustering-evaluation
- coefficient-of-determination
- deviation-of-runoff-volume
- evaluation-metrics
- kling-gupta-efficiency
- performance-metrics
- regression-methods
- relative-error
- symmetric-mean-absolute-percentage