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Papers: 10.3390/ani11072131

https://doi.org/10.3390/ani11072131

Predicting Subclinical Ketosis in Dairy Cows Using Machine Learning Techniques

Cited by: 7
Author(s): Alicja Satoła, Edyta Bauer
Published: about 5 years ago

Software Mentions 12

cran: lightgbm
Light Gradient Boosting Machine
Papers that mentioned: 10
Very Likely Science (100)
cran: xgboost
Extreme Gradient Boosting
Papers that mentioned: 207
Very Likely Science (100)
pypi: catboost
CatBoost Python Package
Papers that mentioned: 9
Very Likely Science (80)
pypi: imbalanced-learn
Toolbox for imbalanced dataset in machine learning.
Papers that mentioned: 38
Very Likely Science (100)
pypi: learn
A simple printer of nested lines
Papers that mentioned: 154
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pypi: lightgbm
LightGBM Python Package
Papers that mentioned: 10
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: StandardScaler
Standard scale your data
Papers that mentioned: 48
Very Likely Science (65)
pypi: xgboost
XGBoost Python Package
Papers that mentioned: 207
Very Likely Science (90)