Label Accuracy
Percentage
Label Accuracy quantifies the correctness of the labels in the training dataset. Accurate labeling is crucial for supervised learning models to learn effectively.
Formula
(Correctly Labeled Data / Total Data) * 100
Example
If out of 1,000 labeled images, 980 are labeled correctly, label accuracy is (980/1000)*100 = 98%.