Classification: Introduction

This lecture introduces the concepts of clustering and classification, focusing on building models that assign objects to classes based on attribute values. It covers the classification problem, basic approaches, training, model testing, and usage. The instructor discusses the characteristics of classification methods, including predictive accuracy, speed, scalability, interpretability, and robustness.