This Python script demonstrates how to train and evaluate a decision tree classifier. The code is structured to work with two different datasets: a "clean" dataset and a "noisy" dataset. You can use ...

Using a decision tree classifier from an ML library is often awkward because in most situations the classifier must be customized and library decision trees have many complex supporting functions.

Your codespace will open once ready. There was a problem preparing your codespace, please try again. This repository contains a Python script that performs classification using the Iris dataset. The ...

A decision tree classifier is a machine learning (ML) prediction system that generates rules such as "IF age < 42.0 AND height >= 71.0 THEN jobType = 3." Using a decision tree classifier from an ML ...