Results 21 to 30 of about 18,911 (296)
CoRR, 2022 Balancing the data before training a classifier is a popular technique to address the challenges of imbalanced binary classification in tabular data. Balancing is commonly achieved by duplication of minority samples or by generation of synthetic minority samples.
Yotam Elor, Hadar Averbuch-Elor
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Data Driven Prognosis of Cervical Cancer Using Class Balancing and Machine Learning Techniques [PDF]
EAI Endorsed Transactions on Energy Web, 2020 INTRODUCTION: With the progression of innovation and its joint effort with health care services, the world has achieved a lot of benefits. AI procedures and machine learning techniques are constantly improving existing statistical methods for better ...
Mamta Arora +2 more
doaj +1 more source
Prediction of the Road Accidents Severity Level: Case of Saint-Petersburg and Leningrad Oblast
International Journal of Technology, 2023 This article examines the factors influencing the severity of road accidents in St. Petersburg and Leningrad oblast for 2015–2023. The study is carried out on the analysis of 69190 road accidents and 6 groups of factors using the logit model and ...
Angi Skhvediani +3 more
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AGNES-SMOTE: An Oversampling Algorithm Based on Hierarchical Clustering and Improved SMOTE [PDF]
Scientific Programming, 2020 Aiming at low classification accuracy of imbalanced datasets, an oversampling algorithm—AGNES-SMOTE (Agglomerative Nesting-Synthetic Minority Oversampling Technique) based on hierarchical clustering and improved SMOTE—is proposed. Its key procedures include hierarchically cluster majority samples and minority samples, respectively; divide minority ...
Xin Wang +6 more
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Analysis and Classification of Customer Churn Using Machine Learning Models
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Analysis studies of customer loss (customer churn) have been used for years to increase profitability and build customer relationships with companies.
Muhammad Maulana Sidiq Nurhidayat +1 more
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BIOS, 2022 Penelitian ini berisi tentang analisis sentimen masyarakat Indonesia pada Twitter terhadap kebijakan pemerintah dalam menangani kasus pandemi covid-19.
Hanifatul Azizah +2 more
doaj +1 more source
Classification of Quranic Topics Using SMOTE Technique [PDF]
, 2021 This paper aims to classify the Quranic topics that differ in their number of verses by applying the SMOTE technique. SMOTE is used to rebalance samples of minority classes in these Quranic topics.
Arkok, Bassam +3 more
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ESSAY ANSWER CLASSIFICATION WITH SMOTE RANDOM FOREST AND ADABOOST IN AUTOMATED ESSAY SCORING
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 Automated essay scoring (AES) is used to evaluate and assessment student essays are written based on the questions given. However, there are difficulties in conducting automatic assessments carried out by the system, these difficulties occur due to ...
Wilia Satria, Mardhani Riasetiawan
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, 2013 Several real world prediction problems involve forecasting rare values of a target variable. When this variable is nominal we have a problem of class imbalance that was already studied thoroughly within machine learning. For regression tasks, where the target variable is continuous, few works exist addressing this type of problem.
Luís Torgo +3 more
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Cross-Project Defect Prediction with Metrics Selection and Balancing Approach
Applied Computer Systems, 2022 In software development, defects influence the quality and cost in an undesirable way. Software defect prediction (SDP) is one of the techniques which improves the software quality and testing efficiency by early identification of defects(bug/fault/error)
Nevendra Meetesh, Singh Pradeep
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