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Application of stacking ensemble technique in agriculture for prediction of crop yield
Author(s) -
Shivani S. Kale,
Preeti Patil,
G. Mamatha
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns2.8888
Subject(s) - ensemble learning , random forest , stacking , feature selection , gradient boosting , computer science , machine learning , lasso (programming language) , support vector machine , boosting (machine learning) , decision tree , artificial intelligence , regression , feature (linguistics) , ensemble forecasting , linear regression , regularization (linguistics) , pattern recognition (psychology) , statistics , mathematics , linguistics , physics , philosophy , nuclear magnetic resonance , world wide web

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