BigML Tutorial: Develop Your First Decision Tree and Make Predictions

Last Updated on June 7, 2016

BigML is a fresh new and interesting machine learning as a service company based out of Corvallis, Oregon, USA.

In a previous post, we reviewed the BigML service, the key features and the ways in which you could use this service in your business, on you side project or to present to clients. In this tutorial we will walk through a step-by-step tutorial on developing a predictive model using the BigML platform and use it to make predictions on data that was not used to create the model. The model will be a decision tree.

You can follow along by signing up for a free trial BigML account. Configure your account to “development mode” and you will not require any credits to complete the tasks in this tutorial.

Iris Species Classification Problem

For this tutorial we will use the well studied Iris flower dataset. This dataset is comprised of 150 instances that describe the measurements of iris flowers, each of which is classified as one of three species of iris. The attributes are numeric and
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