CorrPrRoc: Computes correlation between AUCROC performance values and...
In sevvandi/outselect: Algorithm selection for unsupervised outlier detection
Description
Usage
Arguments
Value
Examples
Description
Computes correlation between AUCROC performance values and AUCPR performance values
Usage
1
CorrPrRoc(m = 1)
Arguments
m
If 1, then pearson, if 2, then kendall or if 3, then spearman correlation is performed. Default value is 1.
Value
The correlation values for each performance column.
Examples
1
2
3
4
## Not run:
corobj <- CorrPrRoc()
## End(Not run)
sevvandi/outselect documentation built on June 1, 2019, 3:58 a.m.
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Description Usage Arguments Value Examples
Description
Computes correlation between AUCROC performance values and AUCPR performance values
Usage
1 | CorrPrRoc(m = 1)
|
Arguments
m |
If |
Value
The correlation values for each performance column.
Examples
1 2 3 4 | ## Not run:
corobj <- CorrPrRoc()
## End(Not run)
|
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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