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KNN Iris Classifier

This project demonstrates a K-Nearest Neighbors (KNN) classifier for the Iris dataset. The application allows users to:

Tune the hyperparameter k (number of neighbors).
Evaluate the model's performance (accuracy and balanced accuracy).
Predict the iris species based on user-provided input.

Features

Hyperparameter tuning for KNN (k selection).
Model training and evaluation.
Console-based user input for custom predictions.
Performance metrics: Accuracy and Balanced Accuracy.

Requirements

Ensure you have the following installed:

Python 3.x
pandas
scikit-learn

Setup

Clone the repository:

git clone https://github.com/yourusername/CAU-AID-Class.git

Navigate to the project directory:
```
cd CAU-AID-Class
```
Install required libraries:
```
pip install pandas scikit-learn
```
Ensure the iris.csv dataset is available in the project directory.