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Last data update: 2014.03.03

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Classification

Results 1 - 10 of 37 found.
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ClassifyResult (Package: ClassifyR) : Container for Storing Classification Results

Contains a table of actual sample classes and predicted classes, the indices of features selected for each fold of each bootstrap resampling or each hold-out classification, and error rates. This class is not intended to be created by the user, but could be used in another package. It is created by runTests.

● Data Source: BioConductor
● Keywords:
● Alias: ClassifyResult, ClassifyResult,character,character,character,character,character-method, ClassifyResult-class, actualClasses, actualClasses,ClassifyResult-method, features, features,ClassifyResult-method, performance, performance,ClassifyResult-method, predictions, predictions,ClassifyResult-method, show,ClassifyResult-method, totalPredictions, totalPredictions,ClassifyResult-method, tunedParameters, tunedParameters,ClassifyResult-method
● 0 images

DMDselection (Package: ClassifyR) : Selection of Differential Distributions with Differences in Means or Medians and a Deviation Measure

Ranks features by largest Differences in Means/Medians and Deviations and chooses the features which have best resubstitution performance.

● Data Source: BioConductor
● Keywords:
● Alias: DMDselection, DMDselection,ExpressionSet-method, DMDselection,matrix-method
● 0 images

KolmogorovSmirnovSelection (Package: ClassifyR) : Selection of Differential Distributions with Kolmogorov-Smirnov Distance

Ranks features by largest Kolmogorov-Smirnov distance and chooses the features which have best resubstitution performance.

● Data Source: BioConductor
● Keywords:
● Alias: KolmogorovSmirnovSelection, KolmogorovSmirnovSelection,ExpressionSet-method, KolmogorovSmirnovSelection,matrix-method
● 0 images

KullbackLeiblerSelection (Package: ClassifyR) : Selection of Differential Distributions with Kullback Leibler Distance

Ranks features by largest Kullback-Leibler distance and chooses the features which have best resubstitution performance.

● Data Source: BioConductor
● Keywords:
● Alias: KullbackLeiblerSelection, KullbackLeiblerSelection,ExpressionSet-method, KullbackLeiblerSelection,matrix-method
● 0 images

PredictParams (Package: ClassifyR) : Parameters for Classifier Prediction

Collects the function to be used for making predictions and any associated parameters.

● Data Source: BioConductor
● Keywords:
● Alias: PredictParams, PredictParams,ANY-method, PredictParams,function-method, PredictParams-class
● 0 images

ROCplot (Package: ClassifyR) : Plot Receiver Operating Curve Graphs for Classification Results

The average pair-wise overlap is computed for every pair of cross-validations. The overlap is converted to a percentage and plotted as lineplots.

● Data Source: BioConductor
● Keywords:
● Alias: ROCplot, ROCplot,list-method
● 2 images

ResubstituteParams (Package: ClassifyR) : Parameters for Resubstitution Error Calculation

Some feature selection functions provided in the framework use resubstitution error rate to choose the best number of features for classification. This class stores parameters related to that process

● Data Source: BioConductor
● Keywords:
● Alias: ResubstituteParams, ResubstituteParams,ANY,ANY,ANY-method, ResubstituteParams,numeric,character,character-method, ResubstituteParams-class
● 0 images

SelectParams (Package: ClassifyR) : Parameters for Feature Selection

Collects and checks necessary parameters required for feature selection. The empty constructor is provided for convenience.

● Data Source: BioConductor
● Keywords:
● Alias: SelectParams, SelectParams,ANY-method, SelectParams,functionOrList-method, SelectParams-class
● 0 images

SelectResult (Package: ClassifyR) : Container for Storing Feature Selection Results

Contains the ranked indices or names of features, from most discriminative to least discriminative and a list of indicies of feature selected for use in classification. This class is not intended to be created by the user, but could be used in another package.

● Data Source: BioConductor
● Keywords:
● Alias: SelectResult, SelectResult,character,character,list,list-method, SelectResult-class, show,SelectResult-method
● 0 images

TrainParams (Package: ClassifyR) : Parameters for Classifier Training

Collects and checks necessary parameters required for classifier training. The empty constructor is provided for convenience.

● Data Source: BioConductor
● Keywords:
● Alias: TrainParams, TrainParams,ANY-method, TrainParams,function-method, TrainParams-class
● 0 images