data-discretization

There are 0 repository under data-discretization topic.

• ChenTaHung / Monotonic-Optimal-Binning

  Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.

  creditcredit-card-fraudcredit-riskdatapreprocessingfeature-engineeringmobmonotonemonotonicstatisticsdata-discretizationmonotonic-optimal-binningriskrisk-managementmonotone-optimal-binningpythonpavapool-adjacent-violators
  Language:Python 13

• cdfq384903 / MonotonicOptimalBinning

  This project mainly implements the Monotonic Optimal Binning(MOB) algorithm in SAS 9.4. We extend the application of this algorithm which can be applied to numerical and categorical data. In order to avoid the problem of creating too many bins, we optimize the p-value iteratively and provide bins size first binning, monotonicity first binning, and chi merge binning methods for users to discretize data more conveniently.

  mobsasrisk-managementmonotonic-optimal-binningdata-discretizationcreditcreditriskcreditrisk-analysismonotone
  Language:SAS 9
• GSECA

  matteocereda / GSECA

  Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data

  rna-sequencinghandiling-heteogeneitygene-set-analysisbig-databig-data-analyticsgseavariance-analysisfinite-mixturegene-setsdata-discretizationfmmcohortstcgapancancer
  Language:R 5

• leorrose / Simple-machine-learning-classifier-tool

  A data mining project written in python

  pythonclassifiermachine-learningdata-discretizationid3naive-bayes
  Language:Python 0