Testing a trained AI model on data it hasn't seen before to ensure it generalizes well and doesn't just memorize training data. Like giving students a practice test before the final exam.
After training a fraud detection model, validation testing on new transactions ensures it can accurately detect fraud it hasn't encountered before.
Testing a trained AI model on data it hasn't seen before to ensure it generalizes well and doesn't just memorize training data. Like giving students a practice test before the final exam.
After training a fraud detection model, validation testing on new transactions ensures it can accurately detect fraud it hasn't encountered before.
Related concepts include Model Training, Machine Learning. Understanding these connections helps build a comprehensive knowledge of cloud computing concepts.