Further reading

To know more about the topics discussed in this chapter, you can visit the following links:

• ML.NET Repository: https://github.com/dotnet/machinelearning
• ML.NET AutoML: https://learn.microsoft.com/en-us/dotnet/machine-learning/automated-machine-learning-mlnet
• ML.NET Model Algorithms (Trainers): https://learn.microsoft.com/en-us/dotnet/api/microsoft.ml.trainers?view=ml-dotnet-preview
• Interpreting Confusion Matrixes: https://accessibleai.dev/post/interpreting_confusion_matrixes/
• Class imbalances: https://learn.microsoft.com/en-us/training/modules/machine-learning-confusion-matrix/
• Evaluation Metrics for Binary Classification: https://learn.microsoft.com/en-us/dotnet/machine-learning/resources/metrics#evaluation-metrics-for-binary-classification
• Permutation Feature Importance: https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/explain-machine-learning-model-permutation-feature-importance-ml-net
• Open Neural Network...