I explain how to create a decision tree model for the multi-class classification problem in this tutorial. The IRIS data set is utilized. Preprocessing, selecting the target variable, and splitting the data into a training and test set are all done. A decision tree classifier is then built using the training set and its performance on both the training set and test set are measured. The results are further explained.
More videos on
Load data in RapidMiner:
• RapidMiner, Load data, save process, and s...
Missing values:
• Missing Values in RapidMiner #missing_valu...
The data set:
https://drive.google.com/file/d/1CxXG...