How can I analyze the $$chol$$ attribute in the dataset cholesterol.arff using classifiers like ZeroR, M$5$P$,$ and IBk? I need to:

Run these classifiers with default parameters and compare their training and cross$-$validation errors.

Experiment with different parameter settings for M$5$P and IBk to determine which configurations achieve the best balance between predictive accuracy and minimizing overfitting.

Investigate two additional classifiers for numeric prediction and analyze their performance, comparing results based on accuracy and overfitting.

Could you provide suggestions or guidance on how to approach this analysis and interpret the results?