. Author manuscript; available in PMC: 2020 Dec 6.

Published in final edited form as: IEEE Int Workshop Mach Learn Signal Process. 2014 Nov 20;2014:10.1109/mlsp.2014.6958856. doi: 10.1109/mlsp.2014.6958856

Table 1.

Comparison of performance of SVM classifier using different features for classifying clinical depression of adolesents.

Features	Classification Accuracy
Chance	52.4
Text	65.4
openSMILE	64.7^†
openSMILE+Text	68.0^†
Harmonic Model	68.7^†
Harmonic Model+Text	74.0^†