Demystifying Machine Learning

COMP60028 Spring Term 2024/2025

book home

Lesson 3

Linear Regression

  • [1] Episode 1 - Introduction
  • [2] Episode 2 - Feature Preprocessing
  • [3] Episode 3 - Linear Regression
  • [4] Episode 4 - Loss Function
  • [5] Episode 5 - Gradient Descent
  • [6] Episode 6 - Gradient Descent in More Detail
  • [7] Episode 7 - Learning Rate
  • [8] Episode 8 - Regularization
  • [9] Episode 9 - Evaluation Metrics for Regression
  • [10] Episode 10 - Development Set
  • [11] Exercise 3 - Linear Regression

Chapter : Lesson 3

Episode 10 - Development Set

face Josiah Wang

Summary:

  • Don’t tune your algorithm/model based on your test set.
  • Use a validation set or development set (dev set) instead.
  • Use a dev set for hyperparameter tuning
Previous Next

Page designed by Josiah Wang

Department of Computing | Imperial College London