May 2025
Beginner
178 pages
4h 50m
English
Content preview from Data Science Foundations
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12 MODEL EVALUATION
In this chapter, we delve into the essential process of evaluating data science models. Evaluation is crucial to ensure that the models you build are not only accurate but also meaningful and reliable. We will cover key concepts and techniques to assess model performance, interpret results and ensure they generalise well beyond the data used to train them. This activity relates to the analyse stage of the data analysis lifecycle.
Let’s start at the beginning. When we talk about the outputs from models, there is going to be mention of likelihood, significance, confidence and so on, so let’s start with probability, which we mentioned in Chapter 9, but will go into more detail now.
WHAT IS PROBABILITY?
Definition: Probability ...
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