| doctor.validate {FeaLect} | R Documentation |
Validates a model using validating samples.
Description
A model fitted on the training samples, can be validated on a separate validating set. The recall, precision, and accuracy of the model are computed.
Usage
doctor.validate(true.labels, predictions)
Arguments
true.labels |
A vector of 0 and 1. |
predictions |
A vector of 0 and 1. |
Details
F-measure is equal to: 2 times precision times recall / (precision+recall).
Value
F-measure, precision, and recall are calculated. Also, the mis-labeled cases are reported.
Author(s)
Habil Zare
References
"Statistical Analysis of Overfitting Features", manuscript in preparation.
See Also
FeaLect, train.doctor, doctor.validate,
random.subset, compute.balanced,compute.logistic.score,
ignore.redundant, input.check.FeaLect
Examples
tls <- c(1,1,1,0,0)
ps <- c(1,1,0,1,0)
names(tls) <- 1:5; names(ps) <- 1:5
doctor.validate(true.labels=tls, predictions=ps)
[Package FeaLect version 1.20 Index]