M2N50F5: 5-fold cross validation sample.
In guillermozbta/precrec: Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves
Description
A data frame contains labels and scores for 5-fold test sets.
Usage
1
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
guillermozbta/precrec documentation built on May 11, 2019, 7:22 p.m.
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Description
A data frame contains labels and scores for 5-fold test sets.
Usage
1 |
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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