Diabetes Prediction using Java and Weka

This project implements a machine learning pipeline to predict diabetes using the Pima Indians Diabetes Dataset.

The project performs data preprocessing, feature selection, train-test splitting, model training using Logistic Regression, and model evaluation using the Weka library.

• Java
• Weka
• Maven

1. Read the dataset
2. Preprocess missing values
3. Select important features
4. Split data into training and testing sets
5. Train a Logistic Regression model
6. Evaluate the model

• Accuracy
• Precision
• Recall

PatientRecord.java CSVReader.java DataPreprocessor.java FeatureSelector.java DataSplit.java TrainTestSplit.java WekaConverter.java ModelTrainer.java ModelEvaluator.java Main.java

This project was developed for educational purposes.