6 Evaluation of AI model performance

Artificial intelligence (AI) models are becoming more complex as a result of recent advances in AI technology. As a result, there are numerous approaches to assess the effectiveness of an AI model. In order to evaluate a model’s performance, both its accuracy and how quickly it processes fresh data are measured. Examining the model’s robustness to data that is not in the training set and its capacity for sophisticated problem solving are also included in the evaluation process. Because it identifies opportunities for improvement and facilitates better decision-making, interpretability is a crucial component of evaluating an AI model’s performance. Finally, a range of measures and methods are used in performance evaluation of AI models to assess their efficacy.