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作为精确度和召回率函数的准确度

[英]accuracy as a function of precision and recall

原文 2020-01-30 21:30:31 2 1 machine-learning/ precision/ precision-recall

I know that:我知道：

Accuracy = TP+TN/TP+FP+FN+TN

Precision = TP/TP+FP

Recall = TP/TP+FN

But I want to know if there is any way to compute accuracy given only precision and recall values.但我想知道是否有任何方法可以仅在给定精度和召回值的情况下计算准确度。

1 个解决方案

I could not find anything using only precision and recall but this works fine for me:仅使用精度和召回我找不到任何东西，但这对我来说很好用：

召回后的分类精度和精度 - Classification accuracy after recall and precision

多类模型的准确度、精确度和召回率 - Accuracy, precision, and recall for multi-class model

如何使用SVM找到精度，召回，准确度？ - How to find the Precision, Recall, Accuracy using SVM?

precision_recall_fscore_support 返回相同的准确度、精确度和召回值 - precision_recall_fscore_support returns same values for accuracy, precision and recall

如何在Tensorflow中获得精度和召回率而不是准确性 - How can i get precision & recall instead of accuracy in Tensorflow

如何使用精度和召回值获得混淆矩阵和准确率？ - how to get confusion matrix and the accuracy rate using precision and recall values?

从 F1、精度和召回分数计算准确度 - Compute accuracy from F1, precision and recall scores

Random Cut Forest 模型评估策略（混淆矩阵、Accuracy 和 precision_recall_fscore - Random Cut Forest model evaluation strategies (Confusion matrix,Accuracy and precision_recall_fscore

如何解释几乎完美的准确性和AUC-ROC但零f1分数，精确度和召回率 - How to interpret almost perfect accuracy and AUC-ROC but zero f1-score, precision and recall

如何使用 scikit learn 计算多类案例的准确率、召回率、准确率和 f1 分数？ - How to compute precision, recall, accuracy and f1-score for the multiclass case with scikit learn?

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相关问题 召回后的分类精度和精度 - Classification accuracy after recall and precision 多类模型的准确度、精确度和召回率 - Accuracy, precision, and recall for multi-class model 如何使用SVM找到精度，召回，准确度？ - How to find the Precision, Recall, Accuracy using SVM? precision_recall_fscore_support 返回相同的准确度、精确度和召回值 - precision_recall_fscore_support returns same values for accuracy, precision and recall 如何在Tensorflow中获得精度和召回率而不是准确性 - How can i get precision & recall instead of accuracy in Tensorflow 如何使用精度和召回值获得混淆矩阵和准确率？ - how to get confusion matrix and the accuracy rate using precision and recall values? 从 F1、精度和召回分数计算准确度 - Compute accuracy from F1, precision and recall scores Random Cut Forest 模型评估策略（混淆矩阵、Accuracy 和 precision_recall_fscore - Random Cut Forest model evaluation strategies (Confusion matrix,Accuracy and precision_recall_fscore 如何解释几乎完美的准确性和AUC-ROC但零f1分数，精确度和召回率 - How to interpret almost perfect accuracy and AUC-ROC but zero f1-score, precision and recall 如何使用 scikit learn 计算多类案例的准确率、召回率、准确率和 f1 分数？ - How to compute precision, recall, accuracy and f1-score for the multiclass case with scikit learn?

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