Various Classifiers Performance Based Machine Learning Methods

Patro, Pramoda; Kumar, Krishna; Kumar, G. Suresh; Mahdavinejad, M; Rezvan, M; Barekatain, M; Adibi, P; Barnaghi, P; Sheth, A; Siddiqui, M; Abidi, A; Ahammed, B; Abedin, M; Prakash, R; Tharun, V; Devi, S; Singh, N; Ferozepur, P; S; Jindal, R; Imani, M; Huang, C; Kong, D; Rosing, T; Ghaddar, B; Naoum-Sawaya, J; Ju, H; Yu, H; Arumugam, P; Jose, P; Al-Shargie, F; Tang, T; Badruddin, N; Kiguchi, M; Lv, F; Huang, J; Wang, W; Wei, Y; Sun, Y; Wang, B; Huynh, P; Nguyen, V; Do, T; Aydadenta, H; Ghosh, S; Biswas, S; Sarkar, D; Sarkar, P; Jiang, M; Liang, Y

doi:10.35940/ijrte.c1069.1183s319

Public

Various Classifiers Performance Based Machine Learning Methods

Published in International Journal of Recent Technology and Engineering (IJRTE) • Dec 16, 2019

NobleIDNI5P50W23R67S27

Authors:

Pramoda Patro

,

Krishna Kumar

,

G. Suresh Kumar

Abstract

Classification is a form of data mining (regarding machine learning) approach that is helpful in the prediction of group membership for data instances, where the data input is used by the computer program for learning and thereafter this learning is used for classifying the fresh observation made. T...

Subject

Machine learning

Artificial intelligence

Computer science

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