Chapter 9: Is Our Model Good? Introduction to Evaluation Metrics

Sun, 18 Jan 2026 00:00:00 +0000

Introduction: How Do We Know Our AI is Doing a Good Job?

Welcome back, future AI explorers! In our previous chapters, we’ve journeyed through the fascinating world of data, learned how to prepare it, and even built our very first simple machine learning models. We’ve seen how these models can “learn” patterns from data and then make predictions on new, unseen information. That’s a huge step!

But here’s a critical question: how do we know if our model’s predictions are actually good? Is it making helpful decisions, or is it just guessing? This is where model evaluation comes in. Just like a teacher grades a student’s test to see how well they understood the material, we need ways to “grade” our AI models. It’s not enough to just build a model; we need to understand its strengths, weaknesses, and reliability.

Accuracy on AI VOID

Chapter 9: Is Our Model Good? Introduction to Evaluation Metrics

Introduction: How Do We Know Our AI is Doing a Good Job?