Model Selection Trend 2026

In machine learning, model selection involves comparing algorithms to find the one that best generalizes to unseen data. It uses techniques like cross-validation and performance metrics to avoid overfitting. Data scientists and analysts benefit most, as it ensures accurate predictions for applications ranging from finance to healthcare.