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Analysis of Important Features in Software Defect Prediction using Synthetic Minority Oversampling Techniques (SMOTE), Recursive Feature Elimination (RFE) and …
Abstract Software Defect Prediction (SDP) is essential for improving software quality during
testing. As software systems grow more complex, accurately predicting defects becomes …
testing. As software systems grow more complex, accurately predicting defects becomes …
A Comparative Study: Application of Principal Component Analysis and Recursive Feature Elimination in Machine Learning for Stroke Prediction
Stroke is a disease that occurs in the brain and can cause both vocal and global brain
dysfunction. Stroke research mainly aims to predict risk and mortality. Machine learning can …
dysfunction. Stroke research mainly aims to predict risk and mortality. Machine learning can …
The Enhancing Diabetes Prediction Accuracy Using Random Forest and XGBoost with PSO and GA-Based Feature Selection
Diabetes represents a global health concern classified as a non-communicable disease,
impacting more than 422 million people worldwide, with the number expected to increase …
impacting more than 422 million people worldwide, with the number expected to increase …
Policy Implications of the TikTok Shop E-Commerce Platform in the Contemporary Era: A Siyasah Syar'iyyah Perspective
A Rahma, A Niffilayani… - MILRev: Metro …, 2024 - e-journal.ejournal.metrouniv.ac.id
This study explores the policy implications of the TikTok Shop e-commerce platform in the
contemporary era through the lens of Siyasah Syar'iyyah. As one of the fastest-growing e …
contemporary era through the lens of Siyasah Syar'iyyah. As one of the fastest-growing e …
A Machine-Learning-Based Sentiment Classification Approach for Gojek Application
This study proposes a machine-learning-based sentiment classification approach for
Bahasa Indonesia, where Gojek App's reviews are used for a case study. The sentiment …
Bahasa Indonesia, where Gojek App's reviews are used for a case study. The sentiment …
Exploring User Engagement with TikTok Live Shop**: A Sentiment Analysis
MR Ananda, D Kurnianingrum… - … Conference on Intelligent …, 2024 - ieeexplore.ieee.org
The significance of sentiment analysis within text mining and natural language processing
(NLP) has grown in response to the expanding accessibility of web-based applications and …
(NLP) has grown in response to the expanding accessibility of web-based applications and …
Knowledge Extraction Using Aspect-Based Sentiment Analysis and Classification Method
AF Inayah, KD Tania, A Wedhasmara… - JEPIN (Jurnal Edukasi … - jurnal.untan.ac.id