Quality of a Machine Learning Model

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Quality of a Machine Learning Model
Author(s):
Rushikesh Ghatage, Mihir Athle
Keywords:

Abstract
In today’s world Machine Learning algorithms are used in almost every field in the industry. These algorithms help us to solve complex real world problems easily and efficiently. To make the solutions efficient and up to the industry standard the algorithms must be efficient. The efficiency of the algorithms depends on the quality of the trained algorithm. Through this paper we aim to discuss various parameters on which this quality depends.
Article Details
Unique Paper ID: 157342 Publication Volume & Issue: Volume 9, Issue 6 Page(s): 681 - 683
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