Topic: subgroup-discovery Goto Github
Some thing interesting about subgroup-discovery
Some thing interesting about subgroup-discovery
subgroup-discovery,subgroups is a python library which contains a collection of subgroup discovery algorithms and other data analysis utilities.
User: antoniolopezmc
subgroup-discovery,R code for the discovery of COVID-19 subgroups by symptoms and comorbidities.
User: carsaesi
Home Page: http://covid19sdetool.upv.es
subgroup-discovery,Package containing functions to manage Error Distribution Rules
User: citoplasme
subgroup-discovery,Redescriptional model mining in python
User: feelx234
subgroup-discovery,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.
User: hiddevanesch
subgroup-discovery,This repository reproduces the experiments of the paper "Discovering outstanding subgroup lists for numeric targets using MDL" published at ECML-PKDD.
User: hmproenca
subgroup-discovery,Code for the paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions".
User: jakob-bach
subgroup-discovery,Subgroup-selective knockoff filter
User: msesia
subgroup-discovery,Projeto Final de Aprendizado Descritivo @ DCC/UFMG
User: opgabriel
subgroup-discovery,A machine learning python package for learning ensembles of subgroups for predictive tasks.
User: rebelosa
subgroup-discovery,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.
User: sathvikg
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