F1 Score Calculator. Correct positive predictions relative to total positive. The f1 score ranges from 0 to 1, where 1 indicates perfect precision and recall, and the lowest possible value is 0, if either precision or recall is 0.
F1 score = 2 * (precision * recall) / (precision + recall) where: The f1 score is an important evaluation metric that is commonly used in classification tasks to evaluate the performance of a model.
In This Article, You Will Discover The F1 Score.
Furthermore, the other variations of the f1 score, specifically the fฮฒ.
It Considers Both The Precision And The Recall Of The Test To Compute The Score.
This tutorial is divided into five parts;
Recall Is The Correct Positive Results.
Images References :
This Metric Is Calculated As:
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F1 = 2 * (Precision * Recall) / (Precision + Recall) By Taking The Harmonic Mean Of Precision And Recall, The F1 Score Punishes.