1. Consider the music genre data set described in Sect.1.4 of Applied Predictive Modeling. The objective for these data is to use the predictors to classify music samples into the appropriate music genre.

>data = read.csv("https://raw.githubusercontent.com/lainii/Genre-Prediction/master/genresTrain.csv", header=TRUE, sep=",")

>dim(data)

> str(data)

1. What data splitting method(s) would you use for these data? Explain.
2. Using tools described in this chapter, provide code for implementing your approach(es).