Loan Analysis using Decision Trees and Random Forest in KNIME Software

In this video Loan Analysis is done using 2 different Models:
1 - Decision trees:
A tree-structured classifier, where internal nodes represent the features of a dataset, branches represent the decision rules and each leaf node represents the outcome.
2 - Random Forests:
Random forest builds multiple decision trees and merges them together to get a more accurate and stable prediction.
Dataset: www.kaggle.com...
Software Used: KNIME