Java Naive Bayes Predictor

Overview

This is a Java-based GUI application designed to load a CSV file containing permutations of data. The application uses the Naive Bayes algorithm to predict the output when the user inputs their own permutation.

Features

• Load and parse CSV files with data permutations.
• User-friendly GUI for data input and interaction.
• Predict outcomes based on user-provided permutations using the Naive Bayes algorithm.

Prerequisites

• Java Development Kit (JDK) 8 or higher.
• A CSV file with properly formatted data for training.

Installation

1. Clone the repository:

   git clone https://github.com/Kubab511/java-naive-bayes.git

2. Navigate to the project directory:

   cd java-naive-bayes

3. Compile the project:

   javac -d bin src/App.java

4. Run the application:

   java -cp bin Main

5. (Optional) Generate a frequency table

   python frequency_table.py

Usage

1. Launch the application.
2. Load a CSV file containing training data.
3. Input your own permutation in the provided fields.
4. Click the "Predict" button to see the predicted output.

CSV Format

The CSV file should have the following structure:

• Each row represents a data permutation.
• The last column should contain the expected output (label).

Example:

Feature1,Feature2,Feature3,Feature4,Output
Yes,No,Yes,Yes,Yes
No,No,Yes,No,No

Technologies Used

• Java Swing for the GUI.

License

This project is licensed under the MIT License.

Acknowledgments

• Java Swing Documentation