September 2017
Beginner to intermediate
560 pages
25h 18m
English
book
R Data Analysis Cookbook, Second Edition - Second Edition
by Kuntal Ganguly, Davor Lozić, Mzabalazo Z. Ngwenya, Andrew Bauman, Shanthi Viswanathan, Viswa Viswanathan
Content preview from R Data Analysis Cookbook, Second Edition - Second Edition
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Case 3 - Categorical target variable and two partitions
The boston-housing-classification.csv file has a MEDV_CAT variable that categorizes the median values into HIGH or LOW, and is suitable for a classification algorithm.
For partitioning the categorical response variable with 70-30 split, use the following commands:
> bh2 <- read.csv("boston-housing-classification.csv") > trg.idx <- createDataPartition(bh2$MEDV_CAT, p=0.7, list = FALSE) > trg.part <- bh2[trg.idx, ] > val.part <- bh2[-trg.idx, ]
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