Evaluation metrics and statistical tests for machine learning

Research on different machine learning (ML) has become incredibly popular during the past few decades. However, for some researchers not familiar with statistics, it might be difficult to understand how to evaluate the performance of ML models and compare them with each other. Here, we introduce the...

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Vydané v:	Scientific reports Ročník 14; číslo 1; s. 6086 - 14
Hlavní autori:	Rainio, Oona, Teuho, Jarmo, Klén, Riku
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 13.03.2024 Nature Publishing Group Nature Portfolio
Predmet:	639/705/117 639/705/531 Accuracy Bronchopulmonary infection Classification Evaluation metrics Humanities and Social Sciences Image processing Image Processing, Computer-Assisted - methods Information processing Learning algorithms Lung cancer Machine Learning Mathematical models Medical images multidisciplinary Neural networks Neural Networks, Computer Performance evaluation Positron emission tomography Science Science (multidisciplinary) Statistical analysis Statistical testing Supervised Machine Learning Tomography X-rays Statistical testing Medical images Evaluation metrics Machine learning
ISSN:	2045-2322, 2045-2322
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