Deep Learning Evaluation Metrics and Loss Functions
Evaluation Metrics Accuracy, Precision, and Recall
Positive (Predicted Positive)
Negative (Predicted Negative)
True (Actual Positive)
TP
TN
False (Actual Negative)
FP
FN
For positive cases, the calculations are:
Accuracy (ACC): (Acc= \frac{TP+TN}{TP+TN+FP+FN})
Precision: (\frac{TP}{TP+FP})
Recall: (\frac{TP}{TP+FN})
F1 Score: (\fr ...
Posted on Wed, 20 May 2026 03:57:49 +0000 by noobstar