Machine Learning

How to Make Predictions with scikit-learn

Last Updated on January 10, 2020

How to predict classification or regression outcomes
with scikit-learn models in Python.

Once you choose and fit a final machine learning model in scikit-learn, you can use it to make predictions on new data instances.

There is some confusion amongst beginners about how exactly to do this. I often see questions such as:

How do I make predictions with my model in scikit-learn?

In this tutorial, you will discover exactly how you can make classification and regression predictions with a finalized machine learning model in the scikit-learn Python library.

After completing this tutorial, you will know:

  • How to finalize a model in order to make it ready for making predictions.
  • How to make class and probability predictions in scikit-learn.
  • How to make regression predictions in scikit-learn.

Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

  • Updated Jan/2020: Updated for changes in scikit-learn v0.22 API.