Table 3 The performed studies on... | Emerald Publishing

Table 3

The performed studies on detection of diabetes at early stage dataset

Reference	Method	F-measure	MCC	AOC RUC	PR AUC	Accuracy
[8]	Random forest + cross-validation	0.9782	0.9534	0.9986	0.9986	97.80768
Ours	Random forest + cross-validation	0.983	0.9654	0.999	0.999	98.3055
[8]	Naïve Bayes + cross-validation	0.8764	0.7462	0.9472	0.9472	87.53846
Ours	Naïve Bayes + cross-validation	0.8954	0.789	0.9564	0.9564	89.58324
[8]	J48 + cross-validation	0.9552	0.906	0.9656	0.9528	95.49998
Ours	J48 + cross-validation	0.9674	0.9344	0.9688	0.9582	96.75006
[8]	Random forest + percentage split	0.9748	0.9474	0.9968	0.9968	97.5
Ours	Random forest + percentage split	0.979	0.9582	0.9992	0.9992	97.91668
[8]	Naïve Bayes + percentage split	0.8908	0.772	0.9554	0.9566	89.03846
Ours	Naïve Bayes + percentage split	0.916	0.835	0.9702	0.9698	91.66666
[8]	J48 percentage split	0.948	0.8914	0.9568	0.9428	94.8077
Ours	J48 + percentage split	0.9552	0.9112	0.9576	0.9452	95.55556
[11]	KNN	0.9621	–	–	–	95.19
Ours	KNN	0.979	0.9584	0.9874	0.9836	97.91668
[11]	Random forest	0.95	–	–	–	97.0
Ours	Random forest	0.979	0.9582	0.9992	0.9992	97.91668

Reference	Method	F-measure	MCC	AOC RUC	PR AUC	Accuracy
[8]	Random forest + cross-validation	0.9782	0.9534	0.9986	0.9986	97.80768
Ours	Random forest + cross-validation	0.983	0.9654	0.999	0.999	98.3055
[8]	Naïve Bayes + cross-validation	0.8764	0.7462	0.9472	0.9472	87.53846
Ours	Naïve Bayes + cross-validation	0.8954	0.789	0.9564	0.9564	89.58324
[8]	J48 + cross-validation	0.9552	0.906	0.9656	0.9528	95.49998
Ours	J48 + cross-validation	0.9674	0.9344	0.9688	0.9582	96.75006
[8]	Random forest + percentage split	0.9748	0.9474	0.9968	0.9968	97.5
Ours	Random forest + percentage split	0.979	0.9582	0.9992	0.9992	97.91668
[8]	Naïve Bayes + percentage split	0.8908	0.772	0.9554	0.9566	89.03846
Ours	Naïve Bayes + percentage split	0.916	0.835	0.9702	0.9698	91.66666
[8]	J48 percentage split	0.948	0.8914	0.9568	0.9428	94.8077
Ours	J48 + percentage split	0.9552	0.9112	0.9576	0.9452	95.55556
[11]	KNN	0.9621	–	–	–	95.19
Ours	KNN	0.979	0.9584	0.9874	0.9836	97.91668
[11]	Random forest	0.95	–	–	–	97.0
Ours	Random forest	0.979	0.9582	0.9992	0.9992	97.91668