Model Tuning and the Bias-Variance Tradeoff | A VISUAL INTRODUCTION TO MACHINE LEARNING PART IIA visual introduction to machine learning—Part II Model Tuning and the Bias-Variance Tradeoff The goal of modeling is to approximate real-life situations by identifying and encoding patterns in data. Models make mistakes if those patterns are overly simple or overly complex. In Part 1, we created a model that distinguishes homes in San Francisco from those in New York. Now, we'll talk about tuning
