Table 3.

Comparison of FSRML and other AutoML prediction performance.

Model	PRE	SEN	SPE	ACC	F1	ROC-AUC	PR-AUC
TPE-GP	0.7778	0.0598	0.9946	0.7695	0.1111	0.7112	0.4535
TPOT	0.9412	0.2735	0.9946	0.8210	0.4238	0.9242	0.8220
AutoSklearn	0.3529	0.0256	0.9851	0.7541	0.0478	0.6865	0.3637
AutoGluon	0.6329	0.6410	0.8821	0.8241	0.6369	0.8431	0.6755
FSRML	0.9148	0.6880	0.9797	0.9095	0.7854	0.9522	0.9077