Untuk membuat sebuah model machine learning diperlukan beberapa proses seperti praproses data, modeling, sampai model evaluation. R memiliki banyak sekali packages yang dapat digunakan dalam proses pemodelan. Untuk mempermudah seorang data scientist dalam membuat model, Rstudio mengembangkan kumpulan packages yang diberi nama Tidymodels.

One of many things to consider when we want to choose a machine learning model is the interpretability: can we analyze what variables or certain values that contribute toward particular class or target? Some models can be easily interpreted, such as the linear or logistic regression model and decision trees, but interpreting more complex model such as random forest and neural network can be challenging. This sometimes drive the data scientist to choose more interpretable model since they need to…

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