Bridging the gap between subjective and objective measures: A multimodal protocol for adolescent depression detection

Table 4 Statistical comparison between multimodal and bimodal extreme gradient boosting models

	Multimodal	Bimodal	t value	P value	Cohen’s d	Effect size
AUC-ROC	0.99 ± 0.01	0.96 ± 0.04	4.52	0.00	1.17	Large
AUC-PR	0.99 ± 0.00	0.98 ± 0.03	3.87	0.00	1.04	Large
Accuracy	0.95 ± 0.03	0.93 ± 0.03	2.95	0.01	0.76	Moderate-to-large
Precision	0.96 ± 0.03	0.94 ± 0.04	2.18	0.03	0.56	Moderate
Recall	0.97 ± 0.02	0.96 ± 0.03	1.51	0.14	0.39	Small-to-moderate
F1 score	0.97 ± 0.02	0.95 ± 0.02	2.95	0.01	0.74	Moderate-to-large

AUC-ROC: Under the receiver operating characteristic curve; AUC-PR: Area under the precision-recall curve.