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Oona Rainio, Jarmo Teuho, Riku Klén
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 most common evaluation metrics used for the typical supervised ML tasks including binary, multi-class, and multi-label classification, regression, image segmentation, object detection, and information retrieval. We explain how to choose a suitable statistical test for comparing models, how to obtain enough values of the metric for testing, and how to perform the test and interpret its results. We also present a few practical examples about comparing convolutional neural networks used to classify X-rays with different lung infections and detect cancer tumors in positron emission tomography images.
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Rainio, O., Teuho, J., & Klén, R. (2024). Evaluation metrics and statistical tests for machine learning. Scientific Reports, 14(1), 6086. https://doi.org/10.1038/s41598-024-56706-x
Rainio, Oona, et al. "Evaluation metrics and statistical tests for machine learning." Scientific Reports, vol. 14, no. 1, 2024, pp. 6086, https://doi.org/10.1038/s41598-024-56706-x.
Rainio, Oona, Jarmo Teuho, and Riku Klén. "Evaluation metrics and statistical tests for machine learning." Scientific Reports 14, no. 1 (2024): 6086. https://doi.org/10.1038/s41598-024-56706-x.
Rainio O., Teuho J., Klén R. Evaluation metrics and statistical tests for machine learning // Scientific Reports. — 2024. — Vol. 14, № 1. — P. 6086. — URL: https://doi.org/10.1038/s41598-024-56706-x
@article{rainio2024evaluation,
title = {{Evaluation metrics and statistical tests for machine learning}},
author = {Oona Rainio and Jarmo Teuho and Riku Klén},
journal = {Scientific Reports},
year = {2024},
volume = {14},
number = {1},
pages = {6086},
doi = {10.1038/s41598-024-56706-x},
url = {https://doi.org/10.1038/s41598-024-56706-x}
}TY - JOUR AU - Rainio, Oona AU - Teuho, Jarmo AU - Klén, Riku TI - Evaluation metrics and statistical tests for machine learning JO - Scientific Reports VL - 14 IS - 1 SP - 6086 PY - 2024 DA - 2024/03/13 DO - 10.1038/s41598-024-56706-x UR - https://doi.org/10.1038/s41598-024-56706-x ER -
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