7
Classification Experiments with ML.NET AutoML
We’ve seen how useful data analysis can be for gaining insights from data and communicating those insights to others. In this chapter, we’ll enter the realm of machine learning and show how machine learning models can be fitted to our datasets, as well as how these fitted models can generate predictions from new data points.
In this chapter, we’ll cover the following topics:
- Understanding machine learning
- Introducing ML.NET and AutoML
- Creating training and testing datasets
- Training a classification model with ML.NET AutoML
- Evaluating binary classification models
- Generating predictions from binary classification models
Technical requirements
This chapter assumes you have installed Polyglot Notebooks ...
Get Data Science with .NET and Polyglot Notebooks now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
