Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features

Table 7

Classification outcomes of ELRDD-E.

Gender	Classifier	Sensitivity (%)	Specificity (%)	Accuracy (%)
Male	ELRDD-E	78.13	85.29	81.82
	Adaboost decision tree	65.63	82.35	74.24
	Bagging decision tree	65.63	79.41	72.73
	Random forest	62.50	79.41	71.21
	STEDD	75.00	85.29	80.30
Female	ELRDD-E	79.25	70.59	75.00
	Adaboost decision tree	64.15	76.47	70.19
	Bagging decision tree	62.26	74.51	68.27
	Random forest	66.04	76.47	71.15
	STEDD	77.36	74.51	75.96