Version 0.1

API

Implemented methods:

  • DES techniques currently available are:
    1. META-DES
    2. K-Nearest-Oracle-Eliminate (KNORA-E)
    3. K-Nearest-Oracle-Union (KNORA-U)
    4. Dynamic Ensemble Selection-Performance(DES-P)
    5. K-Nearest-Output Profiles (KNOP)
    6. Randomized Reference Classifier (DES-RRC)
    7. DES Kullback-Leibler Divergence (DES-KL)
    8. DES-Exponential
    9. DES-Logarithmic
    10. DES-Minimum Difference
    11. DES-Clustering
    12. DES-KNN
  • DCS techniques:
    1. Modified Classifier Rank (Rank)
    2. Overall Locall Accuracy (OLA)
    3. Local Class Accuracy (LCA)
    4. Modified Local Accuracy (MLA)
    5. Multiple Classifier Behaviour (MCB)
    6. A Priori Selection (A Priori)
    7. A Posteriori Selection (A Posteriori)
  • Baseline methods:
    1. Oracle
    2. Single Best
    3. Static Selection
  • Dynamic Frienemy Prunning (DFP)
  • Diversity measures
  • Aggregation functions