Utilizing Statistical Tests for Comparing Machine Learning Algorithms

The mean result of machine learning models is determined by utilizing k-fold cross-validation. The algorithm with the best average performance should surpass those with the poorest. But what if the difference in average outcomes is the consequence of a statistical anomaly? To conduct whether or not...

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Main Author: Hozan Khalid Hamarashid
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2021-07-01
Series:Kurdistan Journal of Applied Research
Subjects:
Online Access:https://kjar.spu.edu.iq/index.php/kjar/article/view/630
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author Hozan Khalid Hamarashid
author_facet Hozan Khalid Hamarashid
author_sort Hozan Khalid Hamarashid
collection DOAJ
description The mean result of machine learning models is determined by utilizing k-fold cross-validation. The algorithm with the best average performance should surpass those with the poorest. But what if the difference in average outcomes is the consequence of a statistical anomaly? To conduct whether or not the mean result differences between two algorithms is genuine then statistical hypothesis test is utilized. Using statistical hypothesis testing, this study will demonstrate how to compare machine learning algorithms. The output of several machine learning algorithms or simulation pipelines is compared during model selection. The model that performs the best based on your performance measure becomes the last model, which can be utilized to make predictions on new data. With classification and regression prediction models it can be conducted by utilizing traditional machine learning and deep learning methods. The difficulty is to identify whether or not the difference between two models is accurate.
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publishDate 2021-07-01
publisher Sulaimani Polytechnic University
record_format Article
series Kurdistan Journal of Applied Research
spelling doaj-art-ceb1fd53930c43859354fde6646c6a082025-02-09T20:59:52ZengSulaimani Polytechnic UniversityKurdistan Journal of Applied Research2411-76842411-77062021-07-016110.24017/science.2021.1.8630Utilizing Statistical Tests for Comparing Machine Learning AlgorithmsHozan Khalid Hamarashid0Information Technology Department, Computer Science Institute, Sulaimani Polytechnic University, Sulaimani, IraqThe mean result of machine learning models is determined by utilizing k-fold cross-validation. The algorithm with the best average performance should surpass those with the poorest. But what if the difference in average outcomes is the consequence of a statistical anomaly? To conduct whether or not the mean result differences between two algorithms is genuine then statistical hypothesis test is utilized. Using statistical hypothesis testing, this study will demonstrate how to compare machine learning algorithms. The output of several machine learning algorithms or simulation pipelines is compared during model selection. The model that performs the best based on your performance measure becomes the last model, which can be utilized to make predictions on new data. With classification and regression prediction models it can be conducted by utilizing traditional machine learning and deep learning methods. The difficulty is to identify whether or not the difference between two models is accurate. https://kjar.spu.edu.iq/index.php/kjar/article/view/630machine learning, machine learning assessment, statistical tests, machine learning algorithm, machine learning comparison.
spellingShingle Hozan Khalid Hamarashid
Utilizing Statistical Tests for Comparing Machine Learning Algorithms
Kurdistan Journal of Applied Research
machine learning, machine learning assessment, statistical tests, machine learning algorithm, machine learning comparison.
title Utilizing Statistical Tests for Comparing Machine Learning Algorithms
title_full Utilizing Statistical Tests for Comparing Machine Learning Algorithms
title_fullStr Utilizing Statistical Tests for Comparing Machine Learning Algorithms
title_full_unstemmed Utilizing Statistical Tests for Comparing Machine Learning Algorithms
title_short Utilizing Statistical Tests for Comparing Machine Learning Algorithms
title_sort utilizing statistical tests for comparing machine learning algorithms
topic machine learning, machine learning assessment, statistical tests, machine learning algorithm, machine learning comparison.
url https://kjar.spu.edu.iq/index.php/kjar/article/view/630
work_keys_str_mv AT hozankhalidhamarashid utilizingstatisticaltestsforcomparingmachinelearningalgorithms