Analytics for the Internet of Things (IoT)

Random forest R examples

Again, this is where R shines (and also is dangerous), as it can do a lot of the tuning for you. We will show some example code to demonstrate what a few lines of R code can do. But the author recommends careful testing and data exploration before settling on the parameters and methods.

This code takes the imputed values from the mice section and predicts if the temperature is warmer than the average (which we categorize as hot) or cooler than the average (cold), based on the values for Wind, Ozone, and Solar radiation:

#Add classes to the imputed data based on Temperature.#This is what will be the target variable for the random forest modelcs_example_data$tempClass <- ifelse(cs_example_data$Temp > 0,"hot","cold") ...