Last data update: 2014.03.03
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R Release (3.2.3)
CranContrib
BioConductor
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SMO (statistical methods ontology)
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Images
The plot method for AUCRF
objects.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.AUCRF
●
3 images
Returns the optimal set of predictive variables selected by the AUC-RF method.
● Data Source:
CranContrib
● Keywords:
● Alias: OptimalSet
●
0 images
Performes a repeated cross validation analysis and computes the probability of selection for each variable.
● Data Source:
CranContrib
● Keywords:
● Alias: AUCRFcv, fitCV
●
1 images
AUCRF is an algorithm for variable selection using Random Forest based on optimizing the area-under-the ROC curve (AUC) of the Random Forest. The proposed strategy implements a backward elimination process based on the initial ranking of the variables.
● Data Source:
CranContrib
● Keywords:
● Alias: AUCRF, exampleData, fit, print.AUCRF, summary.AUCRF
●
1 images