Classification Algorithms GUI

This repository provides a simple graphical user interface (GUI) for executing various classification algorithms on a dataset.

Getting Started

Prerequisites

Make sure you have Python installed on your machine. You can download it from python.org.

Installation

Clone the repository to your local machine:

git clone https://github.com/dzaja123/classification-algorithms-gui.git
cd classification-algorithms-gui

Install the Required Dependencies:

pip install -r requirements.txt

Usage:

Run the application by executing the following command:

python main.py

GUI Overview:

The GUI presents a list of classification algorithms. Clicking on any algorithm button will execute that specific algorithm on the loaded dataset.

Algorithms Included:

• Logistic Regression
• Decision Tree
• Random Forest
• Gaussian Naive Bayes
• Support Vector Machine
• K Nearest Neighbors