Feature Selection Criterion
Select a feature selection criterion to be used in optimizing the predictor set.
Available criteria for optimizing the predictor set are described below:
|
Method |
Description |
|
Minimum Redundancy Maximum Relevance |
This option requires that features within a subset of predictors are maximally dissimilar to each other while still exceeding a specified level of mutual information with the target phenotype. See Ding and Peng (2005)1 for more information. |
|
Correlation Ratio |
Calculates the correlation of a subset of predictors to the target phenotype and the correlation of the subsets to each other. The ratio of the correlations is used as the selection criterion. |
To Specify the Criterion for Feature Selection:
| 8 | Make sure that the Optimize the continuous predictor set check box is checked. |
| 8 | Select the desired option using the drop-down menu. |