f1: F1 score
In egenn/rtemis: Machine Learning and Visualization
f1 R Documentation
F1 score
Description
Calculate the F1 score for classification:
Usage
f1(precision, recall)
Arguments
precision
Float [0, 1]: Precision a.k.a. Positive Predictive Value
recall
Float [0, 1]: Recall a.k.a. Sensitivity
Details
F1 = 2 \frac{Recall \cdot Precision}{Recall + Precision}
Author(s)
E.D. Gennatas
egenn/rtemis documentation built on Dec. 17, 2024, 6:16 p.m.
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| f1 | R Documentation |
F1 score
Description
Calculate the F1 score for classification:
Usage
f1(precision, recall)
Arguments
precision |
Float [0, 1]: Precision a.k.a. Positive Predictive Value |
recall |
Float [0, 1]: Recall a.k.a. Sensitivity |
Details
F1 = 2 \frac{Recall \cdot Precision}{Recall + Precision}
Author(s)
E.D. Gennatas
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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