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Papers: 10.1093/gigascience/giaa026

https://doi.org/10.1093/gigascience/giaa026

ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data

Cited by: 13
Author(s): Stephen R. Piccolo, Terry J. Lee, Erica Suh, Kimball T Hill
Published: over 5 years ago

Software Mentions 21

cran: caret
Classification and Regression Training
Papers that mentioned: 630
Very Likely Science (100)
cran: cowplot
Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Papers that mentioned: 298
Very Likely Science (83)
cran: dplyr
A Grammar of Data Manipulation
Papers that mentioned: 1,213
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: h2o
R Interface for the 'H2O' Scalable Machine Learning Platform
Papers that mentioned: 43
Very Likely Science (100)
cran: mlr
Machine Learning in R
Papers that mentioned: 64
Very Likely Science (100)
cran: OneR
One Rule Machine Learning Classification Algorithm with Enhancements
Papers that mentioned: 58
Very Likely Science (85)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: randomForestSRC
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Papers that mentioned: 143
Very Likely Science (85)
cran: readr
Read Rectangular Text Data
Papers that mentioned: 80
Very Likely Science (100)
cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: caret
A Python Interface to Asterisk
Papers that mentioned: 630
Very Likely Science (65)
pypi: h2o
H2O, Fast Scalable Machine Learning, for python
Papers that mentioned: 43
Very Likely Science (100)
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: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: Orange
Orange, a component-based data mining framework.
Papers that mentioned: 219
Very Likely Science (90)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: shell
A better way to run shell commands in Python.
Papers that mentioned: 207
Very Likely Science (85)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)
pypi: weka
A Python wrapper for the Weka data mining library.
Papers that mentioned: 40
Very Likely Science (90)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)