常見的量化指標有Accuracy、Precision、Recall 與F1-Measure。有時也會使用ROC-AUC 與PR-AUC 還評估在相同資料集下的表現結果。 ... <看更多>

I suspect that you're measuring the micro-averages of precision, recall and accuracy for your two classes. If you're doing so instead of considering one ... ... <看更多>

When you apply one-hot-encoding for binary classification these metrics mess up. Here is an example: Your labels looks like this after one ... ... <看更多>

Accuracy, fmeasure, precision, and recall all the same for binary classification problem (cut and paste example provided) #5400. ... <看更多>