an artificial intelligence simple question

Summary

Using two public domain datasets, we use four or more classifiers to compare the performance of each classifier and do all the analysis for the dataset. The purpose of this task is not merely to present the results of the program, but to determine the nature of the dataset. Each student should show the maximum amount of data analysis.

Datasets

Select two datasets from the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/)

# Attributes and # instances are not too few data

Data that contains at least one multi-variate

Tools

Various tools available

Weka. (Data format must be changed)

Other data analysis, machine learning tools

Or, your own data analysis code

Analysis and evaluation

A 'comparative analysis' of the results using at least four different classifiers

By using the analysis results, you should try to analyze the dataset itself.

The final evaluation should use cross-validation.

An overfitting perspective should be used in the evaluation analysis.

Use the result of zeroR, oneR as the baseline.

Report

Experiment summary of one page

Description of the data

Why we chose datasets

Experimental design and method. Progress Details specifically.

The results of the comparative analysis (in-depth 'comparison' analysis of four or more classifier experiments for two data sets)

conclusion