Improving ML.NET model accurancy

From the version 0.8 it's possible with ML.NET to evaluate features importance and so understand what are the columns that are more important to predict the final value. Permutation Feature Importance has this phurpose, highlight the most important features in order to understand what features has to be included or not; excluding some features from … Continue reading Improving ML.NET model accurancy

Machine Learning algorithms tipologies in ML.NET

ML.NET is a new open source project released by Microsoft few months ago implemented for .NET applications and available as a NuGet package. Now in version 0.4 is growing rapidly but it already has a significative number of algorithms that show the power of the framework. It's a group of libraries used internally by microsoft … Continue reading Machine Learning algorithms tipologies in ML.NET