Table 3.
The lowest scores for each testing scenario.
| Participant group | Positive tasks | Neutral tasks | Negative tasks |
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MAEa (SD) | Model | MAE (SD) | Model | MAE (SD) | Model | ||
| All | 5.31 (0.25) | ElasticNetb | 5.25 (0.28) | QuantileRFc | 5.34 (0.35) | PolySVMd | ||
| Male | 3.84 (0.43) | QuantileRF | 4.40 (0.37) | BoostedLMe | 4.37 (0.43) | PolySVM | ||
| Female | 5.56 (0.41) | ElasticNet | 5.84 (0.42) | RadialSVMf | 5.68 (0.45) | PolySVM | ||
aMAE: mean absolute error.
bElasticNet: mix of L1 and L2 regularized linear regression.
cQuantileRF: quantile regression forest.
dPolySVM: support vector machine with polynomial basis function kernel.
eBoostedLM: boosted linear model.
fRadialSVM: support vector machine with radial basis function kernel.