---
title: "An Empirical Comparison of ID3 and Back-propagation"
authors:
  - "Douglas H. Fisher"
  - "Kathleen B. McKusick"
doi: ""
url: "https://ijcai.org/proceedings/1989/126"
pdf: "https://ijcai.org/proceedings/1989/0126.pdf"
venue: "Proceedings of the Eleventh International Joint Conference on Artificial Intelligence"
year: 1989
pages: "788-792"
track: "Machine Learning"
keywords:
---

# An Empirical Comparison of ID3 and Back-propagation

Douglas H. Fisher, Kathleen B. McKusick

*Proceedings of the Eleventh International Joint Conference on Artificial Intelligence*, pages 788-792.

## Abstract

AI and connectionist approaches to learning from examples differ in knowledge-base representation and inductive mechanisms. To explore these differences we experiment with a system from each paradigm: ID3 and back-propagation. We compare the systems on the basis of both prediction accuracy and length of training . The systems show distinct performance differences across a variety of domains. We identify aspects of each system that may account for these performance differences. Finally, we suggest paths for cross-paradigm interaction.