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[Preprint]. 2025 Apr 17:rs.3.rs-6414400. [Version 1] doi: 10.21203/rs.3.rs-6414400/v1

Table 3.

Comparison of Idiographic Model Performance for Negative Affect, Sadness, Anger, and Nervousness Using LIWC+VADER, LDA, and GPT

LIWC+VADER LDA GPT
R2 R2 range RMSE R2 R2 range RMSE R2 R2 range RMSE
Negative Aflect Random Forest .05 (.08) .00; .42
Sig.n=31/97
0.49 (0.21) .07 (.09) .00; .48
Sig.n=36/97
0.49 (0.21) .10 (.08) .00; .34
Sig.n=55/97
0.85 (.20)
Elastic net .07 (.10) .00; .55
Sig.n=36/97
0.49 (0.22) .06 (.07) .00; .44
Sig.n=35/97
0.50 (0.22)
Sad Random Forest .05 (.08) .00; .38
Sig.n=24/95
0.70 (0.25) .05 (.08) .00; .46
Sig.n=25/95
0.71 (0.26) .10 (.10) .00; .54
Sig.n=55/96
1.11 (0.26)
Elastic net .07 (.08) .00; .44
Sig.n=42/95
0.70 (0.26) .07 (.07) .00; .29
Sig.n=45/95
0.71 (0.27)
Angry Random Forest .04 (.06) .00; .28
Sig.n=15/70
0.72 (0.29) .03 (.05) .00; .58
Sig.n=12/85
0.68 (0.32) .09 (.10) .00; .44
Sig.n=45/90
0.93 (0.34)
Elastic net .05 (.07) .00; .27
Sig.n=26/70
0.73 (0.31) .07 (.07) .00; .28
Sig.n=43/84
0.67 (0.32)
Nervous Random Forest .04 (0.06) .00; .29
Sig.n=19/86
0.80 (0.26) .05 (.08) .00; .53
Sig.n=29/94
0.77 (0.28) .06 (.06) .00; .29
Sig.n=40/95
1.36 (0.22)
Elastic net .05 (.07) .00; .35
Sig.n=25/86
.81 (28) .05 (.05) 00; .23
Sig.n=36/94
0.76 (0.28)