M2N50F5: 5-fold cross validation sample.
In precrec: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
M2N50F5 R Documentation
5-fold cross validation sample.
Description
A data frame contains labels and scores for 5-fold test sets.
Usage
data(M2N50F5)
Format
A data frame with 4 columns.
- score1
50 random scores
- score2
50 random scores
- label
50 labels as 'pos' or 'neg'
- fold
50 fold IDs as 1:5
precrec documentation built on Oct. 12, 2023, 1:06 a.m.
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| M2N50F5 | R Documentation |
5-fold cross validation sample.
Description
A data frame contains labels and scores for 5-fold test sets.
Usage
data(M2N50F5)
Format
A data frame with 4 columns.
- score1
50 random scores
- score2
50 random scores
- label
50 labels as 'pos' or 'neg'
- fold
50 fold IDs as 1:5
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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