subgroup-discovery

There are 0 repository under subgroup-discovery topic.

• antoniolopezmc / subgroups

  subgroups is a python library which contains a collection of subgroup discovery algorithms and other data analysis utilities.

  pythonsubgroupsmachine-learningsubgroup-discoverydata-analysisdata-sciencepython3
  Language:Python 16

• rebelosa / random-subgroups

  A machine learning python package for learning ensembles of subgroups for predictive tasks.

  python3pythonpython-packagerandom-forestscikit-learnpysubgroupsubgroupssubgroup-discoveryinterpretabilityinterpretable-machine-learning
  Language:Python 6
• covid19sdtool

  carsaesi / covid19sdtool

  R code for the discovery of COVID-19 subgroups by symptoms and comorbidities.

  covid-19covid19subgroup-discoverysubgroup-analysisdata-qualityheterogeneityvariabilityfrailtybiomedical-informaticsbiomedical-data-science
  Language:HTML 5

• Feelx234 / pyRDMM

  Redescriptional model mining in python

  exceptionalmodelminingmodel-miningsubgroup-discoverysubgroup
  Language:Jupyter Notebook 3

• hiddevanesch / A-EPM

  A heavily modified Exceptional Preferences Mining version of the Python Exceptional Model Mining implemenation by MathynS supporting both an Apriori as well as a Best First algorithm for mining subgroups featuring exceptional preferences.

  exceptional-preferences-miningexceptional-model-miningsubgroup-discovery
  Language:Python 3

• HMProenca / SSDpp-numeric

  This repository reproduces the experiments of the paper "Discovering outstanding subgroup lists for numeric targets using MDL" published at ECML-PKDD.

  subgroup-discoveryinterpretabilityrule-mining
  Language:Python 1

• msesia / i-modelx

  Subgroup-selective knockoff filter

  conditional-independence-testknockoffssubgroup-analysissubgroup-discovery
  Language:R 1

• sathvikg / Subgroup-Discovery-on-Random-Forest

  Subgroup discovery method is applied to random forest in order to select subgroups of entities in the dataset, which seems to be able to approximate with a single random tree. This provides us with the interpretable subgroups of dataset, which makes the random forest model less black-box than usual.

  subgroup-discoveryrandom-forestinterpretable-subgroupsselect-subgroupsdecision-treesblackbox-testing
  Language:Jupyter Notebook 1

• citoplasme / edr

  Package containing functions to manage Error Distribution Rules

  data-miningdata-scienceperformance-analysissubgroup-discoveryregression
  Language:R 0

• Jakob-Bach / Constrained-Subgroup-Discovery

  Code for the paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions".

  data-sciencemachine-learningsubgroup-discoveryfeature-selection
  Language:Python 0

• opgabriel / music-genre-patterns

  Projeto Final de Aprendizado Descritivo @ DCC/UFMG

  data-miningmusic-information-retrievalassociation-rule-miningassociation-rulesfrequent-itemset-miningfrequent-itemsetsmusic-genresubgroup-discovery
  Language:Jupyter Notebook 0