On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach (1997)

by Steven L. Salzberg , Usama Fayyad
Venue:Data Mining and Knowledge Discovery
Citations:156 - 0 self

Active Bibliography

1 Methodological Note On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach – Steven L. Salzberg, Usama Fayyad - 1996
Machine Learning: An Annotated Bibliography for the 1995 AI & . . . – David W. Aha - 1995
87 Unifying instance–based and rule–based induction – Pedro Domingos, J. Mooney - 1996
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
35 Classification and Regression using Mixtures of Experts – Steven Richard Waterhouse - 1997
3 Comparative Experiments on Disambiguating Word Senses: . . . – Raymond J. Mooney - 1996
107 Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning – Raymond J. Mooney - 1996
146 Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey – Sreerama K. Murthy - 1997
12 A comprehensive case study: An examination of machine learning and connectionist algorithms – Frederick Zarndt - 1995
k. Results indicate that this procedure is very effective in estimating good feature weights (Table 4.8). Particularly the results obtained in the – Banded Sinusoidal Tasks - 1994
48 Neural networks for classification: a survey – Guoqiang Peter Zhang - 2000
13 Pruning decision trees and lists – Eibe Frank - 2000
60 Rule Induction and Instance-Based Learning: A Unified Approach – Pedro Domingos - 1995
2 Conservation of Generalization: A Case Study – Cullen Schaffer - 1995
25 Small Sample Statistics for Classification Error Rates I: Error Rate Measurements – J. Kent Martin, D. S. Hirschberg - 1996
13 A Benchmark For Classifier Learning – Zijian Zheng - 1993
The PNC 2 Cluster Algorithm - An integrated learning algorithm for rule induction – Lars Haendel, Lars Haendel, Clusterverfahren Generierung - 2003
38 Simplifying Decision Trees: A Survey – Leonard A. Breslow, David W. Aha - 1996
15 Evaluating Machine Learning Models for Engineering Problems – Yoram Reich, S. V. Barai - 1999