No, accuracy is the same here it is for any binary classification. accuracy = (true positives + true negatives) / all samples. A largely useless measure. As a single score F1 score is much better, but sensitivity and…
No, accuracy is the same here it is for any binary classification. accuracy = (true positives + true negatives) / all samples. A largely useless measure. As a single score F1 score is much better, but sensitivity and…