I have created three different models using deep learning for multi-class classification and each model gave me a different accuracy and loss value. The results of the testing model as the following:
First Model: Accuracy: 98.1% Loss: 0.1882
Second Model: Accuracy: 98.5% Loss: 0.0997
Third Model: Accuracy: 99.1% Loss: 0.2544
My questions are:
What is the relationship between the loss and accuracy values?
Why the loss of the third model is the higher even though the accuracy is higher?