Iris Flower Classification using MATLAB

Overview This project uses Machine Learning (Classification) to predict the species of Iris flowers based on their petal and sepal measurements.

Tools Used Language:MATLAB Method: Decision Trees Library: Statistics and Machine Learning Toolbox

How it Works

1. Loads the Fisher Iris dataset.
2. Trains a Decision Tree model to recognize patterns.
3. The model achieves ~96% accuracy on the dataset.

Results The decision tree graph visualizes how the model splits the data.

How to Run

1. Open MATLAB.
2. Run the flower_classifier.m script.