About this document
Decision Tree Project Overview by ahersuraj23march is a document available to read on EtoBox.
This project explores Decision Trees, a popular machine learning algorithm for classification and regression tasks, detailing their structure, applications, and performance analysis on a dataset. It aims to build and evaluate a Decision Tree model using Python and Scikit-learn while discussing real-world applications, challenges, and future trends. Despite limitations such as overfitting, Decision Trees remain a fundamental tool in machine learning with a reported accuracy of 95.56% in the study.
- Author
- ahersuraj23march
- Language
- EN