Evaluating Efficacy of Classification Algorithms on Personality Prediction Dataset
P William, Dr. Abhishek Badholia.
Abstract
-Classification is a term that denotes to the process of labelling given input
data pieces into predefined groups in machine learning. There are numerous
classification algorithms focused on bayes, trees, functions, or laws that are commonly
used. For a long time, the competence of these algorithmic approaches has become a big
concern, attracting the attention of a sizable study group. The aim of this article is to
examine the efficacy of various classification algorithms. There are several machine
learning algorithms for classifying rules and performing various functions. This article
compares classification algorithms used to identify and forecast personality using the
HEXACO Model dataset and backs it up with implementation performance
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