Marta is partitioning her data set into 60% for training and 40% for validation. She is first specifying 'Member' as her target variable. What will she need to program to ensure consistency to fix a random seed?
A) myIndex
B) trainSet
C) createDataPartition
D) set.seed

Question

Quizplus · Accepted Answer

To ensure consistency in the partitioning of data sets, especially when splitting data into training and validation sets, it's important to fix a random seed. This is done in R with the `set.seed()` function, which allows for the random processes to be reproducible by starting them from the same seed or initial point.

Marta Is Partitioning Her Data Set into 60% for Training