Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.3389/frai.2021.628441

https://doi.org/10.3389/frai.2021.628441

Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water

Cited by: 12
Author(s): Daniel Weller, Tanzy Love, Martin Wiedmann
Published: over 3 years ago

Software Mentions 16

cran: Cubist
Rule- And Instance-Based Regression Modeling
Papers that mentioned: 54
cran: evtree
Evolutionary Learning of Globally Optimal Trees
Papers that mentioned: 6
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear Models
Papers that mentioned: 1,607
cran: iml
Interpretable Machine Learning
Papers that mentioned: 14
cran: mda
Mixture and Flexible Discriminant Analysis
Papers that mentioned: 23
cran: mlr
Machine Learning in R
Papers that mentioned: 64
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Papers that mentioned: 296
cran: party
A Laboratory for Recursive Partytioning
Papers that mentioned: 76
cran: pls
Partial Least Squares and Principal Component Regression
Papers that mentioned: 137
cran: rpart
Recursive Partitioning and Regression Trees
Papers that mentioned: 431
pypi: cubist
A Python package for fitting Quinlan's Cubist regression model.
Papers that mentioned: 8
pypi: glmnet
Python wrapper for glmnet
Papers that mentioned: 1,607
pypi: iml
Interpretable Machine Learning (iML) package. Explain the predictions of any model.
Papers that mentioned: 14
pypi: mda
Analysis Tools for MD Simulations
Papers that mentioned: 23
pypi: mlr
Linear regression utility with inference tests, residual analysis, outlier visualization, multicollinearity test, and other features
Papers that mentioned: 64
pypi: pls
`pls` is a prettier and powerful `ls` for the pros.
Papers that mentioned: 137