Chapter 15

Getting Started with RapidMiner


The final chapter is the kick-starter for the main operators that one would need to become familiar with in order to build data science models using RapidMiner. Firstly the basic graphical user interface for the program is introduced, along with the basic data exploration, transformation, and preparation steps for analysis. The process of optimizing model parameters using RapidMiner’s built-in optimization tools is also covered. With this high-level overview, one can go back to any of the earlier chapters to learn about a specific technique and understand how to use RapidMiner to build models using that machine learning algorithm.


Data exploration; data preparation; optimization; RapidMiner ...

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