- 3.27.0 (latest)
- 3.26.0
- 3.25.0
- 3.24.0
- 3.23.1
- 3.22.0
- 3.21.0
- 3.20.1
- 3.19.0
- 3.18.0
- 3.17.2
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- 3.15.0
- 3.14.1
- 3.13.0
- 3.12.0
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- 3.0.1
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- 2.30.1
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- 2.28.1
- 2.27.1
- 2.26.0
- 2.25.2
- 2.24.1
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- 2.22.1
- 2.21.0
- 2.20.0
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- 2.16.1
- 2.15.0
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- 1.25.0
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- 1.22.0
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- 1.19.0
- 1.18.0
- 1.17.0
- 1.16.0
Confusion matrix for binary classification models.
Number of true samples predicted as true.
Number of true samples predicted as false.
The fraction of actual positive predictions that had positive actual labels.
The equally weighted average of recall and precision.