● mastered · kind concept · level 3 · 8h
- Aplica: Model Evaluation
- Requiere: Confusion Matrix
Precision = of predicted positives, how many are right; recall = of actual positives, how many were caught. The F1 score balances them; imbalance decides which matters.
In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated from the precision and recall of the test, where the precision is the number of true positive results divided by the number of all samples predicted to be positive, including those not identified correctly, and the recall is the number of true positive results divided by the number of all samples that should have been identified as positive.
Enlaces
- Aplica: Model Evaluation
- Requiere: Confusion Matrix