The Iris Flower Classifier is a machine learning model that predicts the species of an iris flower based on its sepal and petal dimensions. The model is built using a Decision Tree Classifier trained on the well-known Iris dataset.
Model Details
Model Type: Decision Tree Classifier
Input Features:
Sepal Length (cm)
Sepal Width (cm)
Petal Length (cm)
Petal Width (cm)
Output: Species of the iris flower (Setosa, Versicolor, Virginica)
Training Data
Dataset: The model was trained on the Iris dataset, which contains 150 samples of iris flowers, each with four features and a corresponding species label.
