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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Analysis of Machine Learning Algorithm: SMOTE with SVM |
| Authors Name: | Pallavi Ahirwar , ANJNA JAYANT DEEN , MANISH KUMAR AHIRWAR |
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| Author Reg. ID: |
IJNRD_192654
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| Published Paper Id: | IJNRD2304631 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | Imbalanced datasets are common in many real-world applications, such as fraud detection, disease diagnosis, and anomaly detection, where the occurrence of the target event is rare or infrequent. In general machine learning algorithms are prone to classify for majority class. In dealing with imbalanced class datasets various problems occur, however, the majority class samples can be leading to a misleading impression of accuracy and desired target. In handling such a situation that can use by many researchers is SMOTE (Synthetic Minority Over-sampling Technique), which creates synthetic samples for the minority class and resolves the over-fitting problem caused by random over-sampling of the majority class. This study thoroughly investigated SMOTE to discover the noteworthy outcomes of classification algorithms for imbalanced datasets. This creates an oversampled dataset for minority class to try to reduce over fitting and unbefitting problems of class imbalance; and creates more balanced dataset for training in classification models. In this study SMOTE can be used with various classification algorithms, such as KNN, Decision trees, Random forests, and Support vector machine for analysis and betterments of classification algorithms. |
| Keywords: | SMOTE, SVM, majority class, minority class, imbalanced data, lung cancer data. |
| Cite Article: | "Analysis of Machine Learning Algorithm: SMOTE with SVM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.g256-g264, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304631.pdf |
| Downloads: | 000118758 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2304631 Registration ID: 192654 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: g256-g264 Country: Bhopal, Madhya Pradesh , India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304631 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304631 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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