Results 171 to 180 of about 7,493 (200)

Accuracy Assessment of CatBoost for Storm Damage

PROCEEDINGS of 20th International Symposium on Applied Informatics and Related Areas
This paper explores the use of gradient boosting to quantify the economic damage caused by storms and classify storm events as severe or mild. The study draws on a historical disaster open database. These figures confirm gradient boosting’s high accuracy in analysing extreme meteorological events for insurance.
Madiyarov Kuan, Letov Alexey
openaire   +1 more source

Catboost Model Unveiled

This chapter delves into the Catboost algorithm, a machine learning method renowned for its handling of categorical data through gradient boosting techniques. It provides an in-depth analysis of Catboost's capabilities, contrasts it with other machine learning algorithms, and discusses its applications across various industries.
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Employee Attrition Analysis Using CatBoost

2023
Md. Monir Ahammod Bin Atique, Md. Nesarul Hoque, Md. Jamal Uddin   +2 more
openaire   +1 more source

Practical Application of the Catboost Model

Chapter 5 discusses the practical application of the Catboost model in handling big data for cryptocurrency market forecasting. It details the process of model building, from defining the problem and data collection to preprocessing, feature selection, model selection, training, evaluation, and deployment.
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A Price Prediction Method Based on CatBoost

2021 International Conference on Culture-oriented Science & Technology (ICCST), 2021
Tie Wang, Yutian Wang, Mingzhe Liu
openaire   +1 more source

Automated Detection of Chagas Disease via CatBoost

Anais do XVII Congresso Brasileiro de Inteligência Computacional
Chagas disease, caused by Trypanosoma cruzi, is a neglected tropical disease that continues to pose a significant health threat in Latin America and is increasingly found in non-endemic regions due to migration. The chronic cardiac form of the disease (chronic Chagasic cardiomyopathy) often develops silently, making early detection difficult and ...
Rogério Ferreira Júnior, Joao Gabriel Ferreira, João Samuel Sales, Marcio Souza, Gisela Clemente, Pedro Lima, João Paulo Madeiro   +6 more
openaire   +1 more source

CatBoost: The Case of Bankruptcy Prediction

2022
Mário Papík, Lenka Papíková, Jana Kajanová, Michal Bečka   +3 more
openaire   +1 more source

Research on mine water source classifications based on BO-CatBoost

Environmental Monitoring and Assessment
Mine water surge is one of the main safety risks in coal mines. This research offers a novel mine water source identification model (BO-CatBoost) to successfully avoid and control mine sudden water catastrophes by properly identifying the sources of mine water.
Han, Li, Zhenwei, Yang, Hang, Lv, Man, Wang, Bo, Zhang, Hengrui, Yan, Hongyu, Zhang   +6 more
openaire   +2 more sources

Cryptocurrency Market Forecasting With Catboost Models

Cryptocurrency Market Forecasting With Catboost Models explores the intersection of Financial Technology (FinTech) and Big Data Analytics, specifically their impact on cryptocurrency market predictions. It also discusses advanced machine learning techniques, such as the Catboost model, and the evolving landscape of technologies like quantum computing ...
openaire   +1 more source

Sequence-based Prediction of Antimicrobial Peptides with CatBoost Classifier

2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE), 2022
Jen-Chieh Yu, Kuan Ni, Ching-Tai Chen
openaire   +1 more source