Homework 2 .docx.pdf - Question 3.1 Using the same data set...

Question 3.1
Using the same data set ( credit_card_data.txt or
credit_card_data-headers.txt ) as in Question 2.2, use the ksvm or kknn function to
find a good classifier:
(a) using cross-validation (do this for the k-nearest-neighbors model; SVM is optional); and
(b) splitting the data into training, validation, and test data sets (pick either KNN or SVM; the other
is optional).
a)

b) I loaded the data and set the seed to allow replication of random variables
> credit_data <- read.table("credit_card_data.txt", header=F, stringsAsFactors = F)
> set.seed(1)
I generated a random sample of 70% of data
> random_row<- sample(1:nrow(credit_data),as.integer(0.7*nrow(credit_data))) > trainData =
credit_data[random_row,]
The remaining data (30%) was used for test and validation
> remainingData = credit_data[-random_row,]