Industry-relevant training in Business, Technology, and Design
Fun games to boost memory, math, typing, and English skills
tagged with 'Artificial Intelligence, Class 12'
Evaluating AI models is crucial for understanding their performance in real-world scenarios, including checking predictions, error rates, and ensuring fairness. Various methodologies such as confusion matrices, evaluation metrics, cross-validation, and ROC curves provide frameworks to assess model quality. These techniques not only help in selecting the best-performing models but also address issues of bias and fairness in AI applications.
Abraham
No courses available. Try selecting a different combination.