SMOTE-based homogeneous ensemble methods for software defect prediction
AO Balogun, FB Lafenwa-Balogun, HA Mojeed… - … Science and Its …, 2020 - Springer
Class imbalance is a prevalent problem in machine learning which affects the prediction
performance of classification algorithms. Software Defect Prediction (SDP) is no exception to …
performance of classification algorithms. Software Defect Prediction (SDP) is no exception to …
[引用][C] SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction
A Balogun, F Lafenwa-Balogun, H Mojeed, V Adeyemo… - 2020 - mostwiedzy.pl
SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction -
Publikacja - MOST Wiedzy Przejdź do wyszukiwarki Przejdź do treści Przejdź do pomocy …
Publikacja - MOST Wiedzy Przejdź do wyszukiwarki Przejdź do treści Przejdź do pomocy …
SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction
AO Balogun, FB Lafenwa-Balogun, HA Mojeed… - … Science and Its …, 2020 - dl.acm.org
Class imbalance is a prevalent problem in machine learning which affects the prediction
performance of classification algorithms. Software Defect Prediction (SDP) is no exception to …
performance of classification algorithms. Software Defect Prediction (SDP) is no exception to …
[PDF][PDF] SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction
AO Balogun, FB Lafenwa-Balogun, HA Mojeed… - 2020 - researchgate.net
Class imbalance is a prevalent problem in machine learning which affects the prediction
performance of classification algorithms. Software Defect Prediction (SDP) is no exception to …
performance of classification algorithms. Software Defect Prediction (SDP) is no exception to …