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| Issue |
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| Vol 14, No 3 (2022) |
Analysis of Stroke Classification Using Random Forest Method |
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Muhammad Firdaus Banjar, Irawati Irawati, Fitriyani Umar, Lilis Nur Hayati |
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| Vol 18, No 1 (2026) |
SMOTE-Based Comparative Analysis of Machine Learning Models for Stroke Risk Prediction Using Imbalanced Healthcare Data |
Abstract
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Ratu Mutiara Siregar, Budy Satria, Sandi Fadilah, Liga Mayola, Silky Safira |
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| Vol 17, No 3 (2025) |
Comparative Study of Random Forest and Ordinal Regression in Concept Map Quality Assessment: The Role of TF-IDF, BERT, and SMOTE-based Balancing |
Abstract
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Nurul Rismayanti, Didik Dwi Prasetya, Triyanna Widiyaningtyas, Tsukasa Hirashima |
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| Vol 16, No 3 (2024) |
The Development of Classification Algorithm Models on Spam SMS Using Feature Selection and SMOTE |
Abstract
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Rachma Chrysanti, Sony Hartono Wijaya, Toto Haryanto |
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| Vol 16, No 2 (2024) |
Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X |
Abstract
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Teri Ade Putra, Vicky Ariandi, Sarjon Defit |
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| Vol 15, No 2 (2023) |
Decision Tree C4.5 Performance Improvement using Synthetic Minority Oversampling Technique (SMOTE) and K-Nearest Neighbor for Debtor Eligibility Evaluation |
Abstract
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Edi Priyanto, Enny Itje Sela, Luther Alexander Latumakulita, Noourul Islam |
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