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. 2022 Mar 16;11(1):e33357. doi: 10.2196/33357

Table 2.

Performance comparison of AdaBoost against 5 other classifiers.

Measurement	AdaBoostM1	C4.5	Naïve Bayes	Multilayer perceptron	Bayesian network	KNN^a
Accuracy	77.59	75.26^b	75.82^b	69.11^b	76.49^b	57.52^b
MCC^c	0.53	0.46^b	0.47^b	0.34^b	0.49^b	0.09^b
F1 score	0.84	0.82^b	0.83^b	0.76^b	0.83^b	0.66^b
Area under ROC^d	0.80	0.74^b	0.75^b	0.74^b	0.78^b	0.54^b

^aKNN: K-nearest neighbors.

^bStatistically significant.

^cMCC: Matthews correlation coefficient.

^dROC: receiver operating characteristic.