===== Fold 1 / 5 ===== Epoch 1/15 | TrainLoss=0.1398 | TrainAcc=0.9432 | ValAcc=0.9358 | ValRec=0.917 | ValSpec=0.989 | BalAcc=0.953 | AUC=0.992 --> Saved Best Model Epoch 2/15 | TrainLoss=0.0820 | TrainAcc=0.9708 | ValAcc=0.9588 | ValRec=0.945 | ValSpec=1.000 | BalAcc=0.972 | AUC=0.996 --> Saved Best Model Epoch 3/15 | TrainLoss=0.0594 | TrainAcc=0.9782 | ValAcc=0.9722 | ValRec=0.970 | ValSpec=0.978 | BalAcc=0.974 | AUC=0.996 --> Saved Best Model Epoch 4/15 | TrainLoss=0.0584 | TrainAcc=0.9799 | ValAcc=0.9598 | ValRec=0.946 | ValSpec=1.000 | BalAcc=0.973 | AUC=0.995 Epoch 5/15 | TrainLoss=0.0606 | TrainAcc=0.9799 | ValAcc=0.9703 | ValRec=0.963 | ValSpec=0.993 | BalAcc=0.978 | AUC=0.996 --> Saved Best Model Epoch 6/15 | TrainLoss=0.0439 | TrainAcc=0.9839 | ValAcc=0.9617 | ValRec=0.948 | ValSpec=1.000 | BalAcc=0.974 | AUC=0.996 Epoch 7/15 | TrainLoss=0.0497 | TrainAcc=0.9818 | ValAcc=0.9741 | ValRec=0.966 | ValSpec=0.996 | BalAcc=0.981 | AUC=0.997 --> Saved Best Model Epoch 8/15 | TrainLoss=0.0472 | TrainAcc=0.9837 | ValAcc=0.9511 | ValRec=0.934 | ValSpec=1.000 | BalAcc=0.967 | AUC=0.997 Epoch 9/15 | TrainLoss=0.0339 | TrainAcc=0.9890 | ValAcc=0.8918 | ValRec=0.854 | ValSpec=1.000 | BalAcc=0.927 | AUC=0.996 Epoch 10/15 | TrainLoss=0.0311 | TrainAcc=0.9859 | ValAcc=0.9789 | ValRec=0.973 | ValSpec=0.996 | BalAcc=0.985 | AUC=0.999 --> Saved Best Model Epoch 11/15 | TrainLoss=0.0340 | TrainAcc=0.9875 | ValAcc=0.9540 | ValRec=0.938 | ValSpec=1.000 | BalAcc=0.969 | AUC=0.997 Epoch 12/15 | TrainLoss=0.0401 | TrainAcc=0.9866 | ValAcc=0.9665 | ValRec=0.955 | ValSpec=1.000 | BalAcc=0.977 | AUC=0.998 Epoch 13/15 | TrainLoss=0.0341 | TrainAcc=0.9878 | ValAcc=0.9224 | ValRec=0.895 | ValSpec=1.000 | BalAcc=0.948 | AUC=0.998 Epoch 14/15 | TrainLoss=0.0272 | TrainAcc=0.9907 | ValAcc=0.9875 | ValRec=0.987 | ValSpec=0.989 | BalAcc=0.988 | AUC=0.998 --> Saved Best Model Epoch 15/15 | TrainLoss=0.0170 | TrainAcc=0.9942 | ValAcc=0.9789 | ValRec=0.972 | ValSpec=1.000 | BalAcc=0.986 | AUC=0.998
===== Fold 2 / 5 ===== Epoch 1/15 | TrainLoss=0.1447 | TrainAcc=0.9365 | ValAcc=0.9444 | ValRec=0.925 | ValSpec=1.000 | BalAcc=0.963 | AUC=0.998 --> Saved Best Model Epoch 2/15 | TrainLoss=0.0885 | TrainAcc=0.9684 | ValAcc=0.9616 | ValRec=0.951 | ValSpec=0.993 | BalAcc=0.972 | AUC=0.999 --> Saved Best Model Epoch 3/15 | TrainLoss=0.0852 | TrainAcc=0.9688 | ValAcc=0.9827 | ValRec=0.979 | ValSpec=0.993 | BalAcc=0.986 | AUC=0.999 --> Saved Best Model Epoch 4/15 | TrainLoss=0.0553 | TrainAcc=0.9768 | ValAcc=0.9866 | ValRec=0.986 | ValSpec=0.989 | BalAcc=0.987 | AUC=1.000 --> Saved Best Model Epoch 5/15 | TrainLoss=0.0597 | TrainAcc=0.9780 | ValAcc=0.9789 | ValRec=0.974 | ValSpec=0.993 | BalAcc=0.983 | AUC=0.999 Epoch 6/15 | TrainLoss=0.0443 | TrainAcc=0.9832 | ValAcc=0.9847 | ValRec=0.994 | ValSpec=0.959 | BalAcc=0.976 | AUC=0.999 Epoch 7/15 | TrainLoss=0.0518 | TrainAcc=0.9792 | ValAcc=0.9818 | ValRec=0.983 | ValSpec=0.978 | BalAcc=0.980 | AUC=0.999 Epoch 8/15 | TrainLoss=0.0361 | TrainAcc=0.9871 | ValAcc=0.9684 | ValRec=0.959 | ValSpec=0.996 | BalAcc=0.977 | AUC=0.999 Epoch 9/15 | TrainLoss=0.0439 | TrainAcc=0.9835 | ValAcc=0.9856 | ValRec=0.983 | ValSpec=0.993 | BalAcc=0.988 | AUC=1.000 --> Saved Best Model Epoch 10/15 | TrainLoss=0.0395 | TrainAcc=0.9863 | ValAcc=0.9789 | ValRec=0.972 | ValSpec=1.000 | BalAcc=0.986 | AUC=1.000 Epoch 11/15 | TrainLoss=0.0330 | TrainAcc=0.9899 | ValAcc=0.9847 | ValRec=0.986 | ValSpec=0.981 | BalAcc=0.984 | AUC=0.999 Epoch 12/15 | TrainLoss=0.0368 | TrainAcc=0.9856 | ValAcc=0.9808 | ValRec=0.974 | ValSpec=1.000 | BalAcc=0.987 | AUC=0.999 Epoch 13/15 | TrainLoss=0.0353 | TrainAcc=0.9854 | ValAcc=0.9847 | ValRec=0.979 | ValSpec=1.000 | BalAcc=0.990 | AUC=1.000 --> Saved Best Model Epoch 14/15 | TrainLoss=0.0267 | TrainAcc=0.9902 | ValAcc=0.9837 | ValRec=0.981 | ValSpec=0.993 | BalAcc=0.987 | AUC=0.999 Epoch 15/15 | TrainLoss=0.0287 | TrainAcc=0.9916 | ValAcc=0.9732 | ValRec=0.964 | ValSpec=1.000 | BalAcc=0.982 | AUC=0.999
===== Fold 3 / 5 ===== Epoch 1/15 | TrainLoss=0.1377 | TrainAcc=0.9446 | ValAcc=0.9751 | ValRec=0.974 | ValSpec=0.978 | BalAcc=0.976 | AUC=0.996 --> Saved Best Model Epoch 2/15 | TrainLoss=0.0794 | TrainAcc=0.9720 | ValAcc=0.9722 | ValRec=0.972 | ValSpec=0.974 | BalAcc=0.973 | AUC=0.996 Epoch 3/15 | TrainLoss=0.0604 | TrainAcc=0.9763 | ValAcc=0.9655 | ValRec=0.957 | ValSpec=0.989 | BalAcc=0.973 | AUC=0.997 Epoch 4/15 | TrainLoss=0.0693 | TrainAcc=0.9760 | ValAcc=0.9751 | ValRec=0.997 | ValSpec=0.910 | BalAcc=0.954 | AUC=0.997 Epoch 5/15 | TrainLoss=0.0527 | TrainAcc=0.9803 | ValAcc=0.9559 | ValRec=0.943 | ValSpec=0.993 | BalAcc=0.968 | AUC=0.998 Epoch 6/15 | TrainLoss=0.0474 | TrainAcc=0.9851 | ValAcc=0.9674 | ValRec=0.961 | ValSpec=0.985 | BalAcc=0.973 | AUC=0.997 Epoch 7/15 | TrainLoss=0.0499 | TrainAcc=0.9825 | ValAcc=0.9779 | ValRec=0.991 | ValSpec=0.940 | BalAcc=0.966 | AUC=0.998 Epoch 8/15 | TrainLoss=0.0386 | TrainAcc=0.9849 | ValAcc=0.9578 | ValRec=0.995 | ValSpec=0.851 | BalAcc=0.923 | AUC=0.996 Epoch 9/15 | TrainLoss=0.0438 | TrainAcc=0.9825 | ValAcc=0.9818 | ValRec=0.979 | ValSpec=0.989 | BalAcc=0.984 | AUC=0.998 --> Saved Best Model Epoch 10/15 | TrainLoss=0.0311 | TrainAcc=0.9897 | ValAcc=0.9789 | ValRec=0.977 | ValSpec=0.985 | BalAcc=0.981 | AUC=0.999 Epoch 11/15 | TrainLoss=0.0279 | TrainAcc=0.9904 | ValAcc=0.9511 | ValRec=0.937 | ValSpec=0.993 | BalAcc=0.965 | AUC=0.999 Epoch 12/15 | TrainLoss=0.0303 | TrainAcc=0.9895 | ValAcc=0.9827 | ValRec=0.999 | ValSpec=0.937 | BalAcc=0.968 | AUC=0.998 Epoch 13/15 | TrainLoss=0.0416 | TrainAcc=0.9847 | ValAcc=0.9770 | ValRec=0.972 | ValSpec=0.993 | BalAcc=0.982 | AUC=0.998 Epoch 14/15 | TrainLoss=0.0259 | TrainAcc=0.9907 | ValAcc=0.9818 | ValRec=0.994 | ValSpec=0.948 | BalAcc=0.971 | AUC=0.998 Epoch 15/15 | TrainLoss=0.0209 | TrainAcc=0.9921 | ValAcc=0.9827 | ValRec=0.983 | ValSpec=0.981 | BalAcc=0.982 | AUC=0.998
===== Fold 4 / 5 ===== Epoch 1/15 | TrainLoss=0.1466 | TrainAcc=0.9399 | ValAcc=0.9693 | ValRec=0.972 | ValSpec=0.963 | BalAcc=0.967 | AUC=0.996 --> Saved Best Model Epoch 2/15 | TrainLoss=0.0960 | TrainAcc=0.9636 | ValAcc=0.9147 | ValRec=0.885 | ValSpec=1.000 | BalAcc=0.943 | AUC=0.998 Epoch 3/15 | TrainLoss=0.0718 | TrainAcc=0.9710 | ValAcc=0.9664 | ValRec=0.956 | ValSpec=0.996 | BalAcc=0.976 | AUC=0.999 --> Saved Best Model Epoch 4/15 | TrainLoss=0.0701 | TrainAcc=0.9753 | ValAcc=0.9607 | ValRec=0.948 | ValSpec=0.996 | BalAcc=0.972 | AUC=0.998 Epoch 5/15 | TrainLoss=0.0608 | TrainAcc=0.9803 | ValAcc=0.9722 | ValRec=0.966 | ValSpec=0.989 | BalAcc=0.978 | AUC=0.998 --> Saved Best Model Epoch 6/15 | TrainLoss=0.0415 | TrainAcc=0.9842 | ValAcc=0.9856 | ValRec=0.985 | ValSpec=0.989 | BalAcc=0.987 | AUC=0.998 --> Saved Best Model Epoch 7/15 | TrainLoss=0.0501 | TrainAcc=0.9827 | ValAcc=0.9693 | ValRec=0.963 | ValSpec=0.989 | BalAcc=0.976 | AUC=0.998 Epoch 8/15 | TrainLoss=0.0495 | TrainAcc=0.9799 | ValAcc=0.9616 | ValRec=0.948 | ValSpec=1.000 | BalAcc=0.974 | AUC=0.999 Epoch 9/15 | TrainLoss=0.0298 | TrainAcc=0.9895 | ValAcc=0.9664 | ValRec=0.956 | ValSpec=0.996 | BalAcc=0.976 | AUC=0.999 Epoch 10/15 | TrainLoss=0.0352 | TrainAcc=0.9861 | ValAcc=0.9722 | ValRec=0.965 | ValSpec=0.993 | BalAcc=0.979 | AUC=0.999 Epoch 11/15 | TrainLoss=0.0351 | TrainAcc=0.9866 | ValAcc=0.9837 | ValRec=0.988 | ValSpec=0.970 | BalAcc=0.979 | AUC=0.998 Epoch 12/15 | TrainLoss=0.0322 | TrainAcc=0.9871 | ValAcc=0.9530 | ValRec=0.939 | ValSpec=0.993 | BalAcc=0.966 | AUC=0.998 Epoch 13/15 | TrainLoss=0.0323 | TrainAcc=0.9878 | ValAcc=0.9770 | ValRec=0.974 | ValSpec=0.985 | BalAcc=0.980 | AUC=0.998 Epoch 14/15 | TrainLoss=0.0320 | TrainAcc=0.9883 | ValAcc=0.9856 | ValRec=0.991 | ValSpec=0.970 | BalAcc=0.981 | AUC=0.999 Epoch 15/15 | TrainLoss=0.0208 | TrainAcc=0.9931 | ValAcc=0.9741 | ValRec=0.994 | ValSpec=0.918 | BalAcc=0.956 | AUC=0.998
===== Fold 5 / 5 ===== Epoch 1/15 | TrainLoss=0.1435 | TrainAcc=0.9377 | ValAcc=0.9243 | ValRec=0.899 | ValSpec=0.996 | BalAcc=0.948 | AUC=0.997 --> Saved Best Model Epoch 2/15 | TrainLoss=0.0821 | TrainAcc=0.9732 | ValAcc=0.9569 | ValRec=0.946 | ValSpec=0.989 | BalAcc=0.967 | AUC=0.998 --> Saved Best Model Epoch 3/15 | TrainLoss=0.0744 | TrainAcc=0.9727 | ValAcc=0.9597 | ValRec=0.950 | ValSpec=0.989 | BalAcc=0.969 | AUC=0.998 --> Saved Best Model Epoch 4/15 | TrainLoss=0.0664 | TrainAcc=0.9744 | ValAcc=0.9348 | ValRec=0.912 | ValSpec=1.000 | BalAcc=0.956 | AUC=0.998 Epoch 5/15 | TrainLoss=0.0465 | TrainAcc=0.9849 | ValAcc=0.9338 | ValRec=0.911 | ValSpec=1.000 | BalAcc=0.955 | AUC=0.998 Epoch 6/15 | TrainLoss=0.0475 | TrainAcc=0.9820 | ValAcc=0.9645 | ValRec=0.955 | ValSpec=0.993 | BalAcc=0.974 | AUC=0.998 --> Saved Best Model Epoch 7/15 | TrainLoss=0.0441 | TrainAcc=0.9832 | ValAcc=0.9866 | ValRec=0.991 | ValSpec=0.974 | BalAcc=0.982 | AUC=0.999 --> Saved Best Model Epoch 8/15 | TrainLoss=0.0419 | TrainAcc=0.9844 | ValAcc=0.9588 | ValRec=0.945 | ValSpec=1.000 | BalAcc=0.972 | AUC=0.999 Epoch 9/15 | TrainLoss=0.0449 | TrainAcc=0.9856 | ValAcc=0.9847 | ValRec=0.986 | ValSpec=0.981 | BalAcc=0.984 | AUC=0.999 --> Saved Best Model Epoch 10/15 | TrainLoss=0.0307 | TrainAcc=0.9902 | ValAcc=0.9693 | ValRec=0.960 | ValSpec=0.996 | BalAcc=0.978 | AUC=0.999 Epoch 11/15 | TrainLoss=0.0478 | TrainAcc=0.9827 | ValAcc=0.9875 | ValRec=0.992 | ValSpec=0.974 | BalAcc=0.983 | AUC=0.999 Epoch 12/15 | TrainLoss=0.0262 | TrainAcc=0.9899 | ValAcc=0.9818 | ValRec=0.977 | ValSpec=0.996 | BalAcc=0.987 | AUC=0.999 --> Saved Best Model Epoch 13/15 | TrainLoss=0.0249 | TrainAcc=0.9907 | ValAcc=0.9559 | ValRec=0.946 | ValSpec=0.985 | BalAcc=0.965 | AUC=0.998 Epoch 14/15 | TrainLoss=0.0338 | TrainAcc=0.9871 | ValAcc=0.9856 | ValRec=0.992 | ValSpec=0.966 | BalAcc=0.979 | AUC=0.998 Epoch 15/15 | TrainLoss=0.0352 | TrainAcc=0.9885 | ValAcc=0.9760 | ValRec=0.969 | ValSpec=0.996 | BalAcc=0.983 | AUC=0.999 Fold 1: Recall=0.974, Spec=1.000, F1=0.987, AUC=0.998 Fold 2: Recall=0.972, Spec=0.996, F1=0.985, AUC=0.999 Fold 3: Recall=0.987, Spec=0.978, F1=0.990, AUC=0.998 Fold 4: Recall=0.995, Spec=0.899, F1=0.980, AUC=0.998 Fold 5: Recall=0.977, Spec=0.996, F1=0.988, AUC=0.999
=== CROSS-VALIDATION SUMMARY === Recall : 0.9809 ± 0.0087 Specificity: 0.9739 ± 0.0381 F1 Score : 0.9859 ± 0.0032 AUC : 0.9986 ± 0.0007