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Duongdearn Suwanjinda

Biographic Data

ID10121258
NAMEDuongdearn Suwanjinda
GIVEN NAMESDuongdearn
FAMILY NAMESuwanjinda
SIGNATURESUWANJINDA D
AFFILIATIONSSukhothai Thammathirat Open University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Unraveling the threads of adaptability

    Open Access•Duongdearn Suwanjinda, Suwimon Kooptiwoot et al.•ARTICLE•Journal of Infrastructure Policy…•2024

    This study evaluated the performance of several machine learning classifiers—Decision Tree, Random Forest, Logistic Regression, Gradient Boosting, SVM, KNN, and Naive Bayes—for adaptability classification in online and onsite learning environments. Decision Tree and Random Forest models achieved the highest accuracy of 0.833, with balanced precision, recall, and F1-scores, indicating strong, overall performance. In contrast, Naive Bayes, while ha…

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  • Unraveling the threads of adaptability

    Open Access•Duongdearn Suwanjinda, Suwimon Kooptiwoot et al.•ARTICLE•Journal of Infrastructure Policy…•2024

    This study evaluated the performance of several machine learning classifiers—Decision Tree, Random Forest, Logistic Regression, Gradient Boosting, SVM, KNN, and Naive Bayes—for adaptability classification in online and onsite learning environments. Decision Tree and Random Forest models achieved the highest accuracy of 0.833, with balanced precision, recall, and F1-scores, indicating strong, overall performance. In contrast, Naive Bayes, while ha…

Adaptability (1 works) · Biology (1 works) · Computer Science (1 works) · Computer security (1 works) · Ecology (1 works) · Education and Learning Interventions (1 works) · Mathematics education (1 works) · Online and Blended Learning (1 works) · Online Learning and Analytics (1 works) · Psychology (1 works)

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