How can I calculate the F1-score or confusion matrix for my model? In this tutorial, you will discover how to calculate metrics to evaluate your deep learning neural network model with a step-by-step example. A
Additional measures to Accuracy are required to evaluate a classifier, for this reason we included positive predictive value, sensitivity and F1-Score. Figure 4. Confusion Matrix. On the main diagonal the predictions made by the machine are reported. Thus, the model was able to correctly answer ...