Evaluating AI models can be confusing. Although terms like accuracy, sensitivity, and precision may sound similar, they each convey different information.
Musashi AI’s white paper, “Understanding the Metrics for Better Evaluation of Your AI Models,” simplifies these concepts using a straightforward example. The paper explains how the metrics are derived from the confusion matrix and provides practical insights for implementation in the manufacturing industry. Best of all, it takes no longer than five minutes to read.
Clear any confusion you have reading the full paper, download our white paper here: Understanding The Metrics For Better Evaluation of Your AI Models
