I need a full answer to the following question, choose any dataset you want, from these websites

And by using the Weka tool, apply this question, please apply decision trees and neural networks, and show me how to compare the results and accuracy with screenshots please and conclusions about them, I want to know how to compare the results and accuracy of models as written in the question.

also, show me which parameters you changed to understand well and if you can copy the link of the dataset you used it will be more helpful

It is for a data mining subject, Thanks in Advanced

You should select one of the datasets from any Machine Learning Repositories: - http://archive.ics.uci.edu/ml/ - https://www.kaggle.com/datasets Apply two supervised machine learning techniques (decision trees, linear regression, SVM, neural networks...) on the selected dataset. Provide the result and accuracies of the constructed model for different parameters (at least 2 scenarios) and discuss them with supporting screenshots