2018
DOI: 10.1051/matecconf/201819703003
|View full text |Cite
|
Sign up to set email alerts
|

Hybrid Approach Redefinition (HAR) model for optimizing hybrid ensembles in handling class imbalance: a review and research framework

Abstract: The purpose of this research is to develop a research framework to optimize the results of hybrid ensembles in handling class imbalance issues. The imbalance class is a state in which the classification results give the number of instances in a class much larger than the number of instances in the other class. In machine learning, this problem can reduce the prediction accuracy and also reduce the quality of the resulting decisions. One of the most popular methods of dealing with class imbalance is the method … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 16 publications
0
1
0
Order By: Relevance
“…The creation of an automatic assessment system has several stages, namely, preprocessing and analyzing. Preprocessing includes several stages such as: tokenizing, filtering, stemming [15], while the analyzing stage is the calculation of weighting of words in documents with cosine similarity. This process is the process of changing words into basic words.…”
Section: Algorithm Implementationmentioning
confidence: 99%
“…The creation of an automatic assessment system has several stages, namely, preprocessing and analyzing. Preprocessing includes several stages such as: tokenizing, filtering, stemming [15], while the analyzing stage is the calculation of weighting of words in documents with cosine similarity. This process is the process of changing words into basic words.…”
Section: Algorithm Implementationmentioning
confidence: 99%