# Bootstrap on Leave-one-out CV with Logistic Regression.

Source:`R/evaluate.R`

`Bootstrap_LOOCV_LR_AUC.Rd`

Bootstrap on Leave-one-out CV with Logistic Regression.

## Arguments

- df
a

`data.frame`

of gene expression count data. Required.- targetVec
a binary vector of the response variable. Should be the same number of rows as

`df`

. Required.- nboot
an integer specifying the number of bootstrap iterations.

## Value

A list of length 2 with elements

- auc
A vector the length of

`nboot`

with the AUC from each bootstrap iteration.- byClass
A dataframe with number of rows equal to

`nboot`

. Each row contains the sensitivity, specificity, positive predictive value, negative predictive value, precision, recall, F1, prevalence, detection rate, detection prevalence and balanced accuracy for that bootstrap iteration.