Machine Learning – Confusion Matrix

ViaByte.Net

  • F1 Score – It is the harmonic mean of precision and recall.

To calculate F1 score, we can use the following formula:

F1 Score = 2 * (Precision * Recall) / (Precision + Recall)

Using the values from our example confusion matrix, the F1 score would be:

Bagikan:

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