Further reading

Here are a few extra resources related to things we covered in this chapter:

• ML.NET tasks: https://learn.microsoft.com/en-us/dotnet/machine-learning/resources/tasks#regression
• Regression metrics: https://learn.microsoft.com/en-us/dotnet/machine-learning/resources/metrics#evaluation-metrics-for-regression-and-recommendation
• Loss function calculation in ML.NET: https://github.com/dotnet/machinelearning/blob/feadc4362f648dc9e2f919b3dee447b91a670f3d/src/Microsoft.ML.Data/Evaluators/RegressionEvaluatorBase.cs
• The importance of the permutation feature: https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/explain-machine-learning-model-permutation-feature-importance-ml-net
• Additional online resources: https://MattOnML.NET/Books/DataScience/Regression/