Analysis of Machine Learning Algorithm: SMOTE with SVM

Registration ID: IJNRD_192654

Published ID: IJNRD2304631

DOI: Click Here to Get

Pallavi Ahirwar , ANJNA JAYANT DEEN , MANISH KUMAR AHIRWAR

SMOTE, SVM, majority class, minority class, imbalanced data, lung cancer data.

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.

Published Paper   E-Certificate

Pallavi Ahirwar, ANJNA JAYANT DEEN, & MANISH KUMAR AHIRWAR (April-2023). Analysis of Machine Learning Algorithm: SMOTE with SVM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), g256-g264. https://ijnrd.org/papers/IJNRD2304631.pdf

Volume 8 Issue 4, April-2023

Pages : g256-g264

Paper Reg. ID: IJNRD_192654

Published Paper Id: IJNRD2304631

Downloads: 000121985

Research Area: Computer Science & Technology 

Country: Bhopal, Madhya Pradesh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304631.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304631

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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