Sebastiao Pereira quantifies a result:
Machine Learning (ML) is a way of teaching computers to learn from data instead of being explicitly programmed. Performance metrics are essential tools for understanding how well a model actually works. They tell you not just how accurate the model is, but how reliable, fair, and useful it will be in real-world applications. In other words, without them, machine learning would be a trial-and-error guesswork.
Binary classification is when each sample is labeled as one of two mutually exclusive classes, referenced to a categorization, like positive or negative.
How do you implement the binary classification performance metric in SQL Server without using external tools?
Click through for a series of metrics to determine how well a binary classification process performed. This post doesn’t include details on how to perform the classification, just what to do once you have the results.