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Update select features models significance

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Ricardo Montañana Gómez
2024-03-05 12:10:58 +01:00
parent 093c197f0a
commit 0ee3eaed53
2 changed files with 43 additions and 21 deletions
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docs/BoostAODE.md
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@@ -16,7 +16,7 @@ The hyperparameters defined in the algorithm are:
- ***tolerance*** (*int*): Sets the maximum number of models that can worsen the result without constituting a termination condition. Default value: *0*.
- ***select_features*** (*{"IWSS", "FCBF", "CFS", ""}*): Selects the variable selection method to be used to build initial models for the ensemble that will be included without considering any of the other exit conditions. These models also do not update or use the weights used by the Boosting algorithm, and their significance is set to 1.
- ***select_features*** (*{"IWSS", "FCBF", "CFS", ""}*): Selects the variable selection method to be used to build initial models for the ensemble that will be included without considering any of the other exit conditions. Once the models of the selected variables are built, the algorithm will update the weights using the ensemble and set the significance of all the models built with the same alpha_t. Default value: *""*.
- ***threshold*** (*double*): Sets the necessary value for the IWSS and FCBF algorithms to function. Accepted values are:
- IWSS: $threshold \in [0, 0.5]$