Tasks:

1. Using KNIME platform Examine Summary Statistics
2. Build a Decision Tree Workflow in KNIME
3. Create validation set: Split your dataset into two parts of train and test
4. Train and build a Decision Tree Classification model on your dataset
5. Evaluate the Performance of your Decision Tree Model by Generate a Confusion Matrix and Determine Accuracy Rate

What to submit:

1. Report (in a word document)
   1. Summary Statistics of your dataset
   2. Validation: Confusion Matrix results for your trained decision tree model and its interpretation
   3. List of rules and their explanations
      1. For example:ifcondition1andcondition2andcondition3thenoutcome.
2. KNIME Workflows file of your project