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TREE-BASED MACHINE LEARNING MODELS TO PREDICT INTERNATIONAL TOURIST ARRIVALS IN INDONESIA DURING COVID-19 PANDEMIC

This thesis focuses on developing two tree-based machine learning models – the extreme gradient boosting (XGBoost) and the random forest models – to predict international tourist arrivals in Indonesia during the Corona Virus Disease 2019 (COVID-19) pandemic. The performance of these models is compar...

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主要作者: Agus Afrianto, Mochammad
格式: Theses
語言:Indonesia
在線閱讀:https://digilib.itb.ac.id/gdl/view/56693
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機構: Institut Teknologi Bandung
語言: Indonesia