semvec/pypi-packages huggingface dataset:
Binary-Classification-Metrics 0.0.2
This package contains various binary classification methods.
License: MIT
Keywords: binary-classification

This package contains various binary classification methods. The methods included are as follows:

1. Precision Score - precision_score(predicted,actual)
2. Recall Score - recall_score(predicted,actual)
3. Selectivity or True Negative Rate - true_negative_rate(predicted,actual)
4. Negative Predictive Value - negative_predictive_value(predicted,actual)
5. Miss Rate or False Negative Rate - miss_rate(predicted,actual)
6. Fall Out or False Positive Rate - fall_out_score(predicted,actual)
7. False Discovery Rate - false_discovery_rate(predicted,actual)
8. False Omission Rate - false_omission_rate(predicted,actual)
9. Weighted Average Precision Score - weighted_avg_precision_score(predicted,actual)
10. Weighted Average Recall Score - weighted_avg_recall_score(predicted,actual)
11. Confusion Matrix - confusion_matrix(predicted,actual) - Return False Pos,False Neg,True Pos,True Neg

# The two arguments are the predicted classes and actual classes of the classification.
# Higher Class Number equates to the positive label.

Change Log
==========

0.0.1 (22/11/2020)
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- First Release

0.0.2 (24/11/2020)
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- Added support for Python 3.6+