Fig. 3

Predicted vs. real average MACS for SVM algorithm and correlation-based feature selection (p < 0.01). The x-axis shows predicted average MACS and the y-axis real average MACS scores. The prediction is performed using the SVM algorithm and features that correlate with average MACS with a 0.01 significance level. Each black dot represents one subject. This model achieved R2 = 0.38, MAE = 1.5618, and RMSE = 1.9147