Concept

Blackbox Dev Set

The Blackbox dev set is the second subset of a split dev set, consisting of the remaining examples after the Eyeball dev set is drawn; in the running example it contains 4,500 examples. It can be used to evaluate classifiers automatically by measuring their error rates, to select among algorithms, and to tune hyperparameters. One should avoid looking at it with one's eyes. The term Blackbox is used because this subset is only used to obtain blackbox evaluations of classifiers.

0

1

Updated 2026-05-26

Contributors are:

Who are from:

Tags

Machine Learning

Deep Learning

Supervised Learning

Dive into Deep Learning @ D2L

Data Science

Machine Learning Strategy