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Machine Learning

ADTree
Decision Tree
WBoost Tree
Boost C45
LIBSVM
C45

 

 

 

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Documentation:
  • What is malibu?
  • Getting Started (A Short Tutorial)
  • Installation
  • Interface with Malibu
    • Parameters
    • Dataset Format
    • Output Format
  • Learning Problems
    • Classification
    • Importance-Weighted Classification
    • Probability Estimates
    • Cost-sensitive Classification
    • Multiple-instance Learning
  • Classifiers
    • C4.5
    • Decision Tree
    • LibSVM
    • ADTree
  • Meta-Classifiers
    • AdaBoost
    • Bagging
    • Random Forests
  • Calibration
    • Logistic Correction
    • Sigmoid Correction
    • Isotonic Correction
  • Reductions
    • Costing
    • Probing
  • Evaluation
    • Validation
    • Metrics
    • Graphs
  • Application Program Interface (API)
  • Future Work
  • UCI Dataset Repository
malibu v. dev 1.1 3/26/2007