ODTF: one-class decision tree fuzzifier

Last updated:

May 2018


If your are using any of the material below please cite the corresponding publication:


ODTF (One-class Decision Tree Fuzzyfier) is an algorithm that wraps a linear DT and establishes class-membership scores based on weighted distances to decision thresholds. ODTF is designed to implement more robust supervised learners based on making class boundaries fuzzy. The first ODTF version here available works with binary classification problems and numerical features (real, integer, binary).

Software, scripts, tools:

The Python version can be downloaded from the ODTF GitHub repository.

Datasets, experiments:

Example figures:

Example of ODTF scoring for 100 samples of the Fisher's Iris dataset (only two features and two dimensions are taken for the example).