Using Infor Coleman for Iris Classification

In this video, we develop a model in Coleman AI that distinguishes between different species of the Iris flower based on four measurements (features): sepal length, sepal width, petal length, and petal width.

The Iris classification dataset is famous in the world of machine learning. It is used for introductory machine learning development.

We build and deploy a machine learning model using multi-class classifier algorithms: XGBoost from the built-in algorithms in Coleman AI Neural Network using Custom Algorithm feature in Coleman AI.