Data

Tools

Indexes

Applications

Experiments

Papers

Papers: 10.1155/2017/7907163

https://doi.org/10.1155/2017/7907163

A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data

Cited by: 11
Author(s): Andrea Bommert, Jörg Rahnenführer, Michel Lang
Published: over 9 years ago

Software Mentions 11

cran: batchtools
Tools for Computation on Batch Systems
Papers that mentioned: 3
Very Likely Science (100)
cran: kernlab
Kernel-Based Machine Learning Lab
Papers that mentioned: 157
Very Likely Science (85)
cran: LiblineaR
Linear Predictive Models Based on the LIBLINEAR C/C++ Library
Papers that mentioned: 15
Very Likely Science (75)
cran: mboost
Model-Based Boosting
Papers that mentioned: 32
Very Likely Science (77)
cran: mlr
Machine Learning in R
Papers that mentioned: 64
Very Likely Science (100)
cran: OpenML
Open Machine Learning and Open Data Platform
Papers that mentioned: 21
Very Likely Science (100)
cran: ranger
A Fast Implementation of Random Forests
Papers that mentioned: 91
Very Likely Science (100)
cran: ROCR
Visualizing the Performance of Scoring Classifiers
Papers that mentioned: 596
Very Likely Science (75)
pypi: batchtools
Command line tool to process subjects with re:THINQ using AWS Batch
Papers that mentioned: 3
Very Likely Science (80)
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Papers that mentioned: 64
Likely Science (40)
pypi: ranger
A Python package for the manipulation of Range objects
Papers that mentioned: 91
Very Likely Science (100)