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A Classification of Appendicitis Disease in Children Using SVM with KNN Imputation and SMOTE Approach
This study evaluates the effect of SMOTE and KNN imputation techniques on the
performance of SVM classification models on a nearly balanced dataset. The results show …
performance of SVM classification models on a nearly balanced dataset. The results show …
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 …
Impact of a Synthetic Data Vault for Imbalanced Class in Cross-Project Defect Prediction
Abstract Software Defect Prediction (SDP) is crucial for ensuring software quality. However,
class imbalance (CI) poses a significant challenge in predictive modeling. This study delves …
class imbalance (CI) poses a significant challenge in predictive modeling. This study delves …
[HTML][HTML] Software Defect Prediction Based on a Multiclassifier with Hyperparameters: Future Work
A Daza - Results in Engineering, 2025 - Elsevier
Background Software defects represent a critical challenge for the technology industry, as
delayed detection can significantly compromise the quality of the final product. Moreover …
delayed detection can significantly compromise the quality of the final product. Moreover …
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 Comparison of Extreme Machine Learning and Hidden Markov Model Algorithm in Predicting The Recurrence Of Differentiated Thyroid Cancer Using SMOTE
Differentiated thyroid cancer is the most common type of thyroid cancer; the types in this
category are papillary, follicular, and hurthel cell carcinoma. Up to 20% of DTCs will …
category are papillary, follicular, and hurthel cell carcinoma. Up to 20% of DTCs will …
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 …
Optimization of Backward Elimination for Software Defect Prediction with Correlation Coefficient Filter Method
Detecting software defects is a crucial step for software development not only to reduce cost
and save time, but also to mitigate more costly losses. Backward Elimination is one method …
and save time, but also to mitigate more costly losses. Backward Elimination is one method …