Open AccessImpact of Number of Features Selected and Size of Training Data on the Accuracy of Machine Learning Based Cloud Security Algorithms – An Empirical Analysis
Author(s) -
Tanko Yahaya Mohammed
Publication year - 2022
Publication title -
slu journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 2736-089X
pISSN - 2736-0903
DOI - 10.56471/slujst.v4i.279
Subject(s) - outlier , computer science , sample size determination , ordinary least squares , machine learning , artificial intelligence , cloud computing , variable (mathematics) , statistics , regression , variables , regression analysis , algorithm , data mining , mathematics , mathematical analysis , operating system
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