Screening ovarian cancer by using risk factors: machine learning assists

Table 3 The results of ML-trained performance

Algorithm	PPV	NPV	Sensitivity	Specificity	Accuracy	F-score
ANN	0.75 ± 0.035	0.82 ± 0.027	0.81 ± 0.038	0.75 ± 0.021	0.78 ± 0.029	0.78 ± 0.03
KNN	0.70 ± 0.029	0.74 ± 0.026	0.72 ± 0.032	0.72 ± 0.022	0.72 ± 0.027	0.71 ± 0.029
J-48	0.71 ± 0.043	0.75 ± 0.037	0.73 ± 0.046	0.73 ± 0.035	0.73 ± 0.038	0.72 ± 0.039
RF	0.89 ± 0.021	0.89 ± 0.016	0.88 ± 0.028	0.90 ± 0.012	0.89 ± 0.021	0.88 ± 0.023
SVM	0.72 ± 0.033	0.77 ± 0.025	0.76 ± 0.036	0.73 ± 0.02	0.74 ± 0.028	0.74 ± 0.03
XG-Boost	0.94 ± 0.015	0.93 ± 0.005	0.93 ± 0.019	0.95 ± 0.002	0.94 ± 0.008	0.94 ± 0.01

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