Concept

Reviewing Poor Training Examples to Identify Training Error Categories

If a system is not doing well on the training set, one option is to listen to about 100 examples that the algorithm is doing poorly on to understand major categories of training set errors. These errors can be counted in different categories.

0

1

Updated 2026-05-25

Contributors are:

Who are from:

Tags

Machine Learning

Deep Learning

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Strategy