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Next: Contents

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• Contents
• Introduction
• Setting Options
  • Global Environment Variables
  • Common Options
• Accuracy Estimation
• Inducers
  • Const
  • Naive Bayes
  • ID3, MC4
  • Decision Tables
  • Instance Based Algorithms
  • C4.5 Variants
  • Holte's OneR
  • T2
  • HOODG/List-HOODG: Oblivious Decision Graphs
  • Aha Instance-based series (IBL)
  • Perceptron and Winnow
  • OC1
  • PEBLS
  • CN2
  • Miscellaneous
• Wrapper Inducers
  • Discretization filter
  • Bagging
  • Feature Subset Selection
  • C4.5 with Auto Parameters
• Utilities
  • Inducers
  • Accuracy Estimation
  • Info
  • Bias-Variance Decomposition
  • Categorize
  • LearnCurve
  • C45Tree
  • Project
  • Discretization
  • Conversions
  • General Logic Diagrams
• Useful Scripts and Tricks
  • Comparing two Inducers
  • Conversions
  • Converting Files for External Inducers
• Mastering Options
  • Special Values
  • String Options
  • The Option Dump File
• Acknowledgments
• References
• Installation, Registration, Questions
  • Legal Issues
  • MLC++ Installation
  • Questions, Problems, Bug Reports
  • Dot and Dotty
  • Referencing MLC++
• Common Error Messages
• Differences from Previous Versions and Known Bugs
  • Differences from 1.3.2
  • Differences from 1.3
  • Known Bugs
• About this document ...

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Ronny Kohavi
Sun Oct 6 23:17:50 PDT 1996