Table 4.

Machine learning result using Infant Wrist Hand Orthosis Trial data.

Algorithm	Accuracy (%)	AUCa
OneR	88.13	0.886
Logistic regression	80.94	0.906
Naive Bayes	86.88	0.943 b
Bayes Net	88.43	0.921
C4.5 decision tree	89.38	0.858
Random forest	81.88	0.917
Multilayer perceptron	81.25	0.937
Support vector machine	83.75	0.783
K-nearest neighbors	83.44	0.896
Average	84.90	0.894

^aAUC: area under the curve.

^bThe best accuracy and area under the curve values are italicized.