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Table 4 Regression results with feature selection using the clustering approach with 2, 9, and 15 clusters. Turkish database is used. Statistically significant (p<0.05) improvement is shown in underlined bold

From: Depression-level assessment from multi-lingual conversational speech data using acoustic and text features

Dim Baseline 2-Cluster 9-Cluster 15-Cluster
5 12.56 11.35 13.14 11.99
10 12.45 10.95 13.42 12.25
15 12.08 11.13 13.07 11.75
20 12.87 11.74 13.23 12.95
40 13.28 12.33 13.73 12.06
80 11.58 12.72 13.33 10.83
100 11.75 13.22 13.09 10.97
200 11.32 11.72 12.66 11.50
400 11.42 11.83 12.00 11.40
800 11.31 11.62 11.70 11.64