Fig. 3

Visualization of the performance of the trained model. This figure describes the results of the finished experimental work. Four plots are drawn for the following: the training accuracy, the training loss, the validation accuracy, and the validation loss. All of them describe the achieved accuracies during experiments. The main goals were to achieve high accuracy and the lowest loss of data. From these figures, we can see that experimental results of this work have reached a very good ratio between the accuracy and loss. The experiments proved that our proposed model can perform well on a different type of data. The proposed model can not only predict if a person will be diabetic in the future but also determine and predict the specific type of the disease, type 1 or type 2