Iris-Model-Model is a machine learning project designed for the classification of Iris flower species. Key features:

• Utilizes supervised machine learning techniques to classify Iris flowers into different species.
• Dataset: Uses the famous Iris dataset for training and testing, making it a valuable educational resource.
• Model Evaluation: Implements various classification algorithms and provides model evaluation metrics for performance assessment.