#model accuracy

Understanding the Core Concept In machine learning, achieving high accuracy isn’t just about building a complex model; it’s about striking a delicate balance. This balance is often referred to as the bias-variance trade-off – a fundamental concept that dictates how well your model generalizes to unseen data. Essentially, it describes the tension between underfitting and overfitting. What is…