Description Usage Arguments Value Author(s) References See Also Examples

View source: R/exportedFuncs.R

Given a list of predicted labels and true labels, provides accuracy, sensitivity, specificity, balanced accuracy (i.e. (sensitivity+specificity)/2 ), and AUC if decision values are given.

1 2 | ```
SWAP.GetKTSP.PredictionStats(predictions, truth, classes=NULL,
decision_values=NULL)
``` |

`predictions` |
is a vector or factor of predicted classes. |

`truth` |
is a vector or factor of the true class labels. |

`classes` |
is a character vector of length 2 providing the phenotype class labels (case followed by control). If NULL, the levels of phenoGroup will be taken as the labels. |

`decision_values` |
is a vector providing the decision values (such as sum of votes from a k-TSP classifier). Will be used to compute AUC if provided. |

A vector providing accuracy, sensitivity, specificity, and balanced accuracy
, and if `decision_values`

is prodvided, area under the ROC curve (AUC).

Bahman Afsari [email protected], Luigi Marchionni [email protected], Wikum Dinalankara [email protected]

See switchBox for the references.

1 2 3 4 5 6 7 8 9 10 | ```
### Load gene expression data
data(trainingData)
data(testingData)
### train 1-TSP
classifier = SWAP.Train.1TSP(matTraining, trainingGroup)
predictions = SWAP.KTSP.Classify(matTesting, classifier)
### get performance results
SWAP.GetKTSP.PredictionStats(predictions, testingGroup)
``` |

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