Table 2.

Comparison results of 10 TPOT models

Model Index	Sensitivity	Specificity	Accuracy	Kappa Score	Hamming Loss	AUC	Average Precision
1	0.545455	0.785714	0.68	0.337748	0.32	0.792208	0.772134
2	0.545455	0.928571	0.76	0.493243	0.24	0.837662	0.850578
3	0.727273	0.857143	0.8	0.590164	0.2	0.896104	0.869712
4	0.727273	0.857143	0.8	0.590164	0.2	0.896104	0.899113
5	0.727273	0.857143	0.8	0.590164	0.2	0.850649	0.82549
6	0.636364	0.857143	0.76	0.503311	0.24	0.831169	0.83455
7#	0.636364	0.928571	0.8	0.58194	0.2	0.902597	0.911364
8	0.636364	0.857143	0.76	0.503311	0.24	0.844156	0.824954
9	0.727273	0.571429	0.64	0.290221	0.36	0.753247	0.768781
10	0.545455	0.857143	0.72	0.414716	0.28	0.733766	0.764365

#Model 7 was selected as the final TPOT model in this study.