Electronic Edition @ Auai.org (open Access).pdf

Supplementary-Paper250.pdf
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Summary

Hyperparameters were set via 5-fold cross-validation. In the low dimensional regime, the search space included: C in LSVM, ℓ2-regularized LR, and RSVM from {0.1, 1, 10, 100}; kernel selection for RSVM; number of base predictors in ensemble methods from {10, 20, 50}; and other model-specific parameters. In the high dimensional regime, the ℓ1 regularization coefficient was chosen from {0.1, 0.01, 0.001, 0.0001}, and other parameters were fixed or searched over specific sets. Results were averaged over 5 independent train-test splits.

Description

Hyperparameters were set via 5-fold cross-validation.

Technical Information

  • File Format: PDF
  • File Size: 135 KB
  • Pages: 1
  • Language: EN
  • Total Downloads: 40
  • Last Updated: 6 hours ago

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