There are 1 repository under data-complexity topic.
The problexity is an open-source python library containing the implementation of measures describing the complexity of the classification and regression problems.
The Python Class Overlap Libray (pycol) assembles a comprehensive set of complexity measures associated with the characterization of the Class Overlap problem.
MfeatExtractor is an automated code for meta-feature extraction, useful for meta-learning projects.
Meta learning framework based on rough set measures
Rough set class library for machine learning
A generator of multi-dimensional and multi-class imbalanced data, designed to create artificial datasets for the study of data difficulty factors in imbalanced learning.
A large dataset for studying the early readmission of diabetic patients problem
Implementation of data typology for imbalanced datasets.
Geometric concept data generator for testing classification algorithms