This project implements a leaf prediction algorithm using the K-Nearest Neighbors (KNN) algorithm. The model is trained and tested on the Iris dataset, which is a well-known dataset in the machine learning community.
- K-Nearest Neighbors (KNN): A simple, yet effective, classification algorithm.
- Iris Dataset: Utilizes the Iris dataset for training and testing the model.
- Java Implementation: The project is implemented in Java without using ML libraries.