summary: Summarize classifier evaluation
In chbernau/CMA: Synthesis of microarray-based classification
Description
Arguments
Value
Note
Author(s)
See Also
Description
This method principally does nothing more than
applying the pre-implemented summary() function to the slot score
of an object of class evaloutput. One then obtains the usual
five-point-summary, consisting of minimum and maximum, lower and upper quartile
and the median. Additionally, the mean is also shown.
Arguments
object
An object of class evaloutput.
...
Further arguments passed to the pre-implemented
summary function.
Value
No return.
Note
That the results normally differ for different evaluation
schemes ("iterationwise" or "observationwise").
Author(s)
Martin Slawski ms@cs.uni-sb.de
Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de
See Also
chbernau/CMA documentation built on May 17, 2019, 12:04 p.m.
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Description Arguments Value Note Author(s) See Also
Description
This method principally does nothing more than
applying the pre-implemented summary() function to the slot score
of an object of class evaloutput. One then obtains the usual
five-point-summary, consisting of minimum and maximum, lower and upper quartile
and the median. Additionally, the mean is also shown.
Arguments
object |
An object of class |
... |
Further arguments passed to the pre-implemented
|
Value
No return.
Note
That the results normally differ for different evaluation schemes ("iterationwise" or "observationwise").
Author(s)
Martin Slawski ms@cs.uni-sb.de
Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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