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EVALUATING FEATURE SELECTION METHODS AND CLASSIFIERS FOR CROP PREDICTION

Fuente: Zenodo

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Détails bibliographiques
Auteur principal:	International Journal of Technology, Leadership and Sciences
Format:	Recurso digital
Publié:	Zenodo 2026
Sujets:	Crop Prediction Feature Selection Machine Learning Classification Models Random Forest Decision Tree Logistic Regression Precision Agriculture Performance Evaluation ROC-AUC
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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