Table 3.

Average fit statistics of predictive machine learning models in discriminating children with bipolar disorders from non-bipolar subjects using 4 age-covaried activity measures as predictors

Method	Accuracy	Kappa	ROC Area	Specificity	Sensitivity
Random Forest	0.798±0.059	0.514±0.143	0.748±0.073	0.885±0.062	0.612±0.137
Neural Network	0.813±0.061	0.562±0.145	0.779±0.045	0.872±0.066	0.685±0.138
Partial Least Squares	0.826±0.055	0.571±0.143	0.771±0.073	0.920±0.051	0.622±0.140
Multinomial Regression	0.829±0.055	0.587±0.136	0.783±0.070	0.907±0.057	0.659±0.132
Support Vector Machine	0.831±0.054	0.587±0.136	0.781±0.071	0.917±0.053	0.644±0.136