Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/compute.balanced.R
If negative samples are less than positive ones, more copies of the negative cases are added and vice versa.
1 | compute.balanced(F_, L_)
|
F_ |
The feature matrix, each column is a feature. |
L_ |
The vector of labels named according to the rows of F. |
Considerably unbalanced classes may be probabilistic for fitting some models.
Returns a list of:
F_ |
The feature matrix, each column is a feature. |
L_ |
The vector of labels named according to the rows of F. |
Habil Zare
"Statistical Analysis of Overfitting Features", manuscript in preparation.
FeaLect
, train.doctor
, doctor.validate
,
random.subset
, compute.balanced
,compute.logistic.score
,
ignore.redundant
, input.check.FeaLect
1 2 3 4 5 6 7 8 9 |
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