Table 2 Performance of different M3 regression models predicting immediate wellbeing outcomes (*p < 0.05, **p < 0.01, ***p < 0.001)
Dep. Var → | P. Affect | N. Affect | Stress | Anxiety | Sleep | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Model ↓ | R2 | SMAPE | r | R2 | SMAPE | r | R2 | SMAPE | r | R2 | SMAPE | r | R2 | SMAPE | r |
Lasso (L1-Regularization) | 0.49*** | 25.94 | 0.27*** | 0.58*** | 27.36 | 0.48*** | 0.42*** | 32.23 | 0.39*** | 0.43*** | 37.62 | 0.31*** | 0.39*** | 23.71 | −0.07 |
Ridge (L2-Regularization) | 0.78*** | 18.43 | 0.50*** | 0.77*** | 21.82 | 0.69*** | 0.59*** | 24.30 | 0.50*** | 0.63*** | 21.99 | 0.65*** | 0.64*** | 16.20 | 0.48* |
Support Vector Regressor (Kernel=RBF) | 0.66*** | 11.61 | 0.87*** | 0.81*** | 10.03 | 0.92*** | 0.89*** | 10.23 | 0.95*** | 0.87*** | 11.58 | 0.95*** | 0.82*** | 6.71 | 0.94*** |
Random Forest Regressor | −2.11 | 43.25 | −0.15 | −0.35 | 31.97 | −0.22* | −38.60 | 105.02 | 0.04 | −52.25 | 115.53 | −0.07 | 0.93 | 4.33 | 0.99*** |
MLP Regressor | 0.30*** | 17.30 | 0.67*** | 0.83*** | 13.72 | 0.92*** | 0.71*** | 17.30 | 0.86*** | 0.84*** | 12.75 | 0.92*** | 0.40*** | 12.90 | 0.75*** |