I’m creating an image classification model (CNN) with fNIRS time series data converted to images. I’m doing a 3-class classification currently and it achieves validation acc at 20% and training acc at 40%. When testing, it achieves 44% categorical accuracy - but Recall and Precision are the exact same value of 0.44 as well. This seems extremely weird - is it a bug? It has happened more times over with other accuracy scores as well. It also says top K categorical accuracy of 1.000.
TL;DR: Accuracy, Precision, Recall show the exact same number and are also very much higher than the validation accuracy. Isn’t this weird?