Дата просвещение

Last updated Aug 11, 2023 Edit Source

Created: 2022-11-01 14:11:47 Tags: #ML #DataScience #classification_metric #ml_metrics

When you built classification model you need to measure it performance. For a most part of classification problems you can use these metrics for model evaluation:

1

To calculate some metrics you need to know what is [[Wiki/ml/metrics/Confusion Matrix|Confusion Matrix]]

• Accuracy score
• Balanced accuracy score
• Precision
• Recall
• F measure
• ROC Curve & ROC AUC
• Gini coef

• ML metrics