Training Sets, Test Sets, R, and ggplot
How to evaluate regression model performance in R
4.39 (751 reviews)
20,074
students
1.5 hours
content
Jun 2015
last update
FREE
regular price
What you will learn
randomly divide a data set into a training set and a test set
calculate the test MSE (mean squared error)
calculate quickly the MSE for a number of models
visualize the variability of the MSE with ggplot
row-slice data frames
use R's predict function
write for loops in R
write functions of two variables in R
combine functions and for loops
add titles and labels to plots in ggplot
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518152
udemy ID
6/2/2015
course created date
11/23/2019
course indexed date
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