Fscores_boot: Bootstrap F_1 scores based on SVM evaluations

In martigso/tonR: Tools for operating the Talk of Norway dataset in R

Description

A function for calculating F_1 scores based on SVM evaluations

Usage

Fscores_boot(data, actual, pred, subset_rows, nsim = 1000, seed = 8949, cores = 1)

Arguments

data	Data frame containing the actual and predicted values of the property under consideration
actual	Character string of the column name of the the actual values of the property under consideration
pred	Character string of the column name of the the predicted values of the property under consideration. Must be same length as actual.
nsim	Integer specifying number of bootstraps to do.
cores	Integer specifying number of cores to simulate on. For Linux users only...sorry Windows.
subset_rows	A vector containing the rownames for the data to bootstrap. For full data use subset_rows = rownames(data)

See Also

svm

Other fscores: Fscores_maker

Examples

# To be done

martigso/tonR documentation built on May 21, 2019, 12:38 p.m.