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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.3390/diagnostics10060415

https://doi.org/10.3390/diagnostics10060415

Comparison between Statistical Models and Machine Learning Methods on Classification for Highly Imbalanced Multiclass Kidney Data

Cited by: 17
Author(s): Bomi Jeong, Hyun-Jeong Cho, Jieun Kim, Soon Kil Kwon, Suk Bong Hong, ChangSik Lee, TaeYeon Kim, Man Sik Park, Seoksu Hong, Tae‐Young Heo
Published: about 5 years ago

Software Mentions 6

cran: h2o
R Interface for the 'H2O' Scalable Machine Learning Platform
Papers that mentioned: 43
Very Likely Science (100)
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Papers that mentioned: 296
Very Likely Science (93)
cran: ordinal
Regression Models for Ordinal Data
Papers that mentioned: 97
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
pypi: h2o
H2O, Fast Scalable Machine Learning, for python
Papers that mentioned: 43
Very Likely Science (100)
pypi: ordinal
Get ordinals from numbers (42 -> 42nd).
Papers that mentioned: 97
Very Likely Science (65)