GitHub topics: data-discretization
ChenTaHung/Monotonic-Optimal-Binning
Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical variables.
Language: Python - Size: 7.44 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 2
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.
Language: SAS - Size: 2.19 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 1
matteocereda/GSECA
Gene Set Enrichment Class Analysis for heterogeneous RNA sequencing data
Language: R - Size: 56.4 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1
leorrose/Simple-machine-learning-classifier-tool
A data mining project written in python
Language: Python - Size: 9.15 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
