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Abstract ABS-68

Forecasting Dengue Hemorrhagic Fever Incidents: A Machine Learning Approach Tien Rahayu Tulili(*a), Yohanes K. Windi (b), Bambang Cahyono(a), Damar Nurcahyono(a), Karyo Budi Utomo(a), Ahmad Rofiq Hakim(a) Corresponding Author: Tien Rahayu Tulili

Question from Ms. Maimunah Maimunah 2020.11.18 12:56:46 Miss. Tien Rahayu...my questions are : 1. how many dataset used in this research? 2. is there a reason that the method used deep learning,neural network, generalized linier model, gradient boast tree and KNN?

Reply from Ms. Tien Rahayu Tulili 2020.11.18 13:11:48 Hello Ms. Maimunah. Thank you for your question. 1. The dataset was 468 records 2. Yes, because these methods has the ability to predict the numeric predictions as well as because of the size of the dataset.

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