Model Evaluation Trend 2026

Model Evaluation measures how well a machine learning model performs on unseen data using metrics like accuracy, precision, and recall. It guides model selection, tuning, and deployment decisions. Data scientists, ML engineers, and business stakeholders benefit by ensuring reliable, unbiased predictions before real-world use.