Most beginners spend hours encoding categorical features before training a machine learning model. Label Encoding. One-Hot Encoding. Target Encoding. Then CatBoost quietly arrives and asks: “What if I ...
Abstract: Transformer is the core equipment in power system. Winding faults are the main causes of sudden accidents, and it is important to obtain the winding status timely. This paper studies the ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Rapid, accurate, and efficient prediction of surrounding rock grades is crucial for ensuring the safety and enhancing the efficiency of tunnel boring machine (TBM) construction. To achieve intelligent ...
ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...
Accurate flood susceptibility mapping (FSM) is a control approach to flood management. This research introduces a novel approach to increase the accuracy of FSM by optimizing the CatBoost algorithm ...
Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly among individuals over the age of 45. This condition causes joint pain and dysfunction, ...
Pneumonia is a leading cause of morbidity and mortality among patients with cancer, and survival time is a primary concern. Despite their importance, there is a dearth of accurate predictive models in ...
The November 2024 core update took three weeks to complete. With the update complete, now is the time to analyze traffic changes. Recovery from ranking drops can take several months with no guaranteed ...
In the Philippines, a novel study by Erika Lynet V. Salvador from the Department of Mathematics and Statistics at Amherst College and the Senior High School Department at De La Salle University ...
CatBoost is a machine learning algorithm that is specifically designed to handle categorical features. It is a powerful tool that can be used for a variety of tasks, such as: CatBoost is a relatively ...
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