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머신러닝 11강 part 2: 민감도, 정밀도, Fscore, PR curve | 바이러스 진단, recall, sensitivity, precision, ppv

by Diligejy 2022. 7. 20.

https://www.youtube.com/watch?v=MMluFO1Qh4Y&ab_channel=%EB%8F%84%EC%9B%80%EC%BD%94%EB%93%9C%EC%89%AC%EC%9A%B4%EC%98%88DoumCode%EB%8D%B0%EC%9D%B4%ED%84%B0%ED%99%8D%EA%B5%90%EC%88%98 

 

 

 

2. F-beta Score

 

https://scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html

 

sklearn.metrics.fbeta_score

 

scikit-learn.org

3.PR(Precision-Recall) Curve

https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html

 

sklearn.metrics.precision_recall_curve

Examples using sklearn.metrics.precision_recall_curve: Visualizations with Display Objects Visualizations with Display Objects, Precision-Recall Precision-Recall,

scikit-learn.org

 

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