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
doaj +1 more source
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
, 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
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source
Impact of Data Balancing and Feature Selection on Machine Learning-based Network Intrusion Detection
JOIV: International Journal on Informatics Visualization, 2023 Unbalanced datasets are a common problem in supervised machine learning. It leads to a deeper understanding of the majority of classes in machine learning.
Azhari Shouni Barkah +3 more
doaj +1 more source
Classification of Brain Tumors on MRI Images Using DenseNet and Support Vector Machine
JOIV: International Journal on Informatics Visualization, 2022 The brain is a vital organ in the human body, performing various functions. The brain has always played a major role in the processing of sensory information, the production of muscular activity, and the performance of high-level cognitive functions ...
Agus Eko Minarno +4 more
doaj +1 more source
SMOTE-ENC: A Novel SMOTE-Based Method to Generate Synthetic Data for Nominal and Continuous Features [PDF]
Applied System Innovation, 2021 Real-world datasets are heavily skewed where some classes are significantly outnumbered by the other classes. In these situations, machine learning algorithms fail to achieve substantial efficacy while predicting these underrepresented instances.
Mimi Mukherjee, Matloob Khushi
openaire +3 more sources
Horse surgery and survival prediction with artificial intelligence models: performance comparison of original, imputed, balanced, and feature- selected datasets [PDF]
Kafkas Universitesi Veteriner Fakültesi DergisiArtificial intelligence (AI) technology, while less advanced than in human medicine, holds significant potential in the field of veterinary medicine.
Pınar CİHAN
doaj +1 more source
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