1. Data Preparation

<p><strong>Data Preparation</strong></p><p>This workflow prepares the data for the next workflow ("My first Data Model") and uses some of the most common nodes for data preparation:</p><ul><li><p>Applying different strategies for missing values (<em>Missing Value</em> node)</p></li><li><p>Creating subsets of the data (<em>Row Sampler</em> and <em>Table Partitioner</em> nodes)</p></li><li><p>Shuffling (<em>Shuffle </em>node)</p></li><li><p>Concatenation of data sets (<em>Concatenate </em>node)</p></li><li><p>Normalizing data (<em>Normalizer </em>and <em>Normalizer (Apply)</em> nodes)</p></li></ul><p>After preprocessing, the workflow writes the two subsets back to .csv files, one for the training set (top partitioning), one for test set (bottom partitioning).</p>