Computer Science using this data   data <- data.frame(no = seq(1,1000), offers = c(rep(0, 550), rep(1, 450)), division = sample(c("A", "B", "C"), 1000, replace = TRUE), sie = c(runif(500, 60, 80), runif(300, 65, 95), runif(200, 75, 95)))   in Rstudio use 10 fold cv to find the optimal threshold for logistic regression   library (ROC)   set.seed(100)   show optimum threshold

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Computer Science

using this data

 

data <- data.frame(no = seq(1,1000), offers = c(rep(0, 550), rep(1, 450)),

division = sample(c("A", "B", "C"), 1000, replace = TRUE),

sie = c(runif(500, 60, 80), runif(300, 65, 95), runif(200, 75, 95)))

 

in Rstudio use 10 fold cv to find the optimal threshold for logistic regression

 

library (ROC)

 

set.seed(100)

 

show optimum threshold

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