1/32 [..............................] - ETA: 0s - loss: 0.5075
12/32 [==========>...................] - ETA: 0s - loss: 0.5112
27/32 [========================>.....] - ETA: 0s - loss: 0.4700
32/32 [==============================] - 0s 4ms/step - loss: 0.4805
eval run time : 0.046851396560668945

For LOOCV run 2 out of 32. Model is SNN. Time taken for instance = 6.077638149261475
Post-training results:
acc = 1.0 , ce = 0.6019332906978302 , f1 score = 1.0 , mcc = 0.0
cm =
[[1]]
####################################################################################################

Process finished with exit code -1073741819 (0xC0000005)

# Run DNN
        print('Point 1')
        model = DNN_classifer(hparams, ss_fl)
        print('Point 2')
        model.train_model(ss_fl)
        print('Point 3')
        predicted_labels, acc, ce, cm, f1s, mcc = model.eval(i_ss_fl)
        predicted_labels_store.extend(predicted_labels)
        acc_store.append(acc)
        ce_store.append(ce)
        f1s_store.append(f1s)
        mcc_store.append(mcc)
    del model
    K.clear_session()

For LOOCV run 4 out of 32. Model is cDNN. Time taken for instance = 0.7919328212738037
Post-training results:
acc = 0.0 , ce = 0.7419472336769104 , f1 score = 0.0 , mcc = 0.0
cm =
[[0 1]
 [0 0]]
####################################################################################################
Point 1
Point 2

Process finished with exit code -1073741819 (0xC0000005)