Objective: Evaluate Decision Tree $($J$48-$C$45)$ and Naive Bayes models on the Spambase

dataset using cross$-$fold validation.

Instructions:

Download the Spambase.csv dataset from Canvas.

Implement Decision Tree $($C$45)$ and Naive Bayes models using Python in Google Collab or

Jupyter Notebook.

Utilize cross$-$fold validation for model evaluation.

Calculate and report accuracy, precision, recall, and F$1$ measure for each model.

Submission Guidelines:

Submit a PDF report detailing your code and evaluation metrics.

Include source code files $(.$ipynb or $.$py$)$

Spambase.csv