Analysis of the Effectiveness of Traditional and Ensemble Machine Learning Models for Mushroom Classification

Analysis of the Effectiveness of Traditional and Ensemble Machine Learning Models for Mushroom Classification

The classification of edible versus poisonous mushrooms presents a critical challenge in the domains of applied biology and public health, particularly due to the serious implications of misidentification. This research employs the UCI Mushroom Dataset to evaluate and compare the effectiveness of s...

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Bibliographic Details
Main Authors: Neny Sulistianingsih, Galih Hendro Martono
Format: Article
Language:English
Published: LPPM STIKI Malang 2025-06-01
Series:J-Intech (Journal of Information and Technology)
Subjects:
Bagging
Ensemble Learning
K-Nearest Neighbors
Mushroom Classification
Random Forest
Stacking
Online Access:https://jurnal.stiki.ac.id/J-INTECH/article/view/1851
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https://jurnal.stiki.ac.id/J-INTECH/article/view/1851

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