Penerapan Metode Extreme Gradient Boosting (XGBOOST) pada Klasifikasi Nasabah Kartu Kredit
SEH Yulianti, O Soesanto… - Journal of Mathematics …, 2022 - ojs.unsulbar.ac.id
Kartu kredit macet merupakan suatu masalah ketidaksanggupan pengguna kartu kredit
dalam membayar tagihan kartu kredit yang dapat menyebabkan kerugian pada kedua belah …
dalam membayar tagihan kartu kredit yang dapat menyebabkan kerugian pada kedua belah …
Optimizing photodegradation rate prediction of organic contaminants: models with fine-tuned hyperparameters and SHAP feature analysis for informed decision …
Titanium dioxide (TiO2) is commonly used as a photocatalyst for treating water
contaminants. However, experimentally determining the photodegradation kinetics is both …
contaminants. However, experimentally determining the photodegradation kinetics is both …
Implementation of Random Forest and Extreme Gradient Boosting in the Classification of Heart Disease Using Particle Swarm Optimization Feature Selection
Heart disease is a condition that ranks as the primary cause of death worldwide. Based on
available data, over 36 million people have succumbed to non-communicable diseases, and …
available data, over 36 million people have succumbed to non-communicable diseases, and …
A Machine Learning Approach to Identifying Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques
Phishing assaults are one of the more prevalent types of cybercrime in the world today. To
steal information, users are sent emails and messages. Moreover, websites are used for it …
steal information, users are sent emails and messages. Moreover, websites are used for it …
An ensemble method for phishing websites detection based on XGBoost
J Gu, H Xu - 2022 14th international conference on computer …, 2022 - ieeexplore.ieee.org
N owadays, the internet is spreading widely around the world. Beside the benefits the
internet brings to its users, there are many potential harms such as phishing scams. These …
internet brings to its users, there are many potential harms such as phishing scams. These …
A novel interpretable machine learning model approach for the prediction of TiO2 photocatalytic degradation of air contaminants
Air contaminants lead to various environmental and health issues. Titanium dioxide (TiO2)
features the benefits of autogenous photocatalytic degradation of air contaminants. To …
features the benefits of autogenous photocatalytic degradation of air contaminants. To …
[PDF][PDF] A Machine Learning Approach to Identify Phishing Websites: A Comparative Study of Classification Models and Ensemble Learning Techniques.
Phishing assaults are one of the more prevalent types of cybercrime in the world today. To
steal information, users are sent emails and messages. Moreover, websites are used for it …
steal information, users are sent emails and messages. Moreover, websites are used for it …
Boosting Guided Probabilistic Ensemble-based Approach For Phishing Website Detection
Phishing is a cyber crime that targets naive online users to disclose their sensitive and
personal information such as username, pin, password, social insurance numbers, credit …
personal information such as username, pin, password, social insurance numbers, credit …