MACHINE LEARNING ยท LESSON 6

Model Evaluation and Performance Metrics

Learn how to assess predictions, understand classification mistakes, and select metrics that reflect the real business problem. Work through eight concepts, activities and related MCQs.

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Why Model Evaluation Matters

Explain why a model must be tested instead of trusting its predictions.

Understand the concept

Model evaluation compares a model's outputs with known outcomes using data that was not used to fit the model. It provides evidence about how the model may perform on new cases. No single test guarantees future success.

Business connection

A retailer should compare a sales forecast with actual sales before using it to set inventory levels.

INTERACTIVE VISUAL

Training vs unseen performance

Switch between familiar and unseen performance to understand generalisation.

INTERACTIVE ACTIVITY

Apply the concept

A model scores 99% on training data but only 63% on a suitable unseen test set. What is the best conclusion?

Choose one answer
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