A Survey on Handling Imbalance Data on Software Defect Prediction
Various machine learning techniques for defect software prediction have been used. The
learning model is based on the training dataset. The labelled dataset consists of …
learning model is based on the training dataset. The labelled dataset consists of …
Synonym-based Text Generation in Restructuring Imbalanced Dataset for Deep Learning Models
FSS Ningsih, PH Khotimah, A Arisal… - … Intelligent Systems in …, 2022 - ieeexplore.ieee.org
One of which machine learning data processing problems is imbalanced classes.
Imbalanced classes could potentially cause bias towards the majority classes due to the …
Imbalanced classes could potentially cause bias towards the majority classes due to the …
GENERATED TEXT DALAM RESTRUKTURISASI KETIDAKSEIMBANGAN DATASET JUDUL BERITA COVID-19 DENGAN MENGGUNAKAN MODEL DEEP …
FSS NINGSIH - 2022 - digilib.unila.ac.id
Imbalanced data is a problem that often occurs in classifying. This has the potential to cause
bias against the majority class. Oversampling or text generation is one of the methods used …
bias against the majority class. Oversampling or text generation is one of the methods used …