Evaluation metrics: Difference between revisions
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** [[Confusion matrix]] | ** [[Confusion matrix]] | ||
** [[Sensitivity]], aka. recall, TPR | ** [[Sensitivity]], aka. recall, TPR | ||
** [[Specificity]], aka. TNR | |||
** [[Accuracy]] | |||
** [[F1]] | |||
Latest revision as of 20:22, 11 June 2024
Here is a list of evaluation metrics for machine learning models:
- Classification tasks
- Confusion matrix
- Sensitivity, aka. recall, TPR
- Specificity, aka. TNR
- Accuracy
- F1
