DETEKSI KAGGLE BOT ACCOUNT MENGGUNAKAN DEEP NEURAL NETWORKS

Abstract

Data collection in research is challenging, especially on Kaggle, a popular platform for data scientists. However, in recent years, there have been many reports of fake accounts on Kaggle that are difficult to detect, threatening data integrity and research credibility. One of the key traits to identify fake accounts is by looking at incomplete or inconsistent profiles. This research aims to help datascience users to detect Kaggle bot accounts by building a model using Deep Neural Networks. DNN is a machine learning algorithm that mimics the nervous system in the human brain. DNN consists of input layers, hidden layers