Selecting machine learning models for metallic nanoparticles
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Altmetric Citations
Barnard, Amanda; Opletal, George
Description
The outcome of machine learning is influenced by the features used to describe the data, and various metrics are used to measure model performance. In this study we use five different feature sets to describe the same 4000 gold nanoparticles, and 14 different machine learning methods to compare a total of 70 high scoring models. We then use classification and regression to show which meta-features of data sets or machine learning algorithms are important when making a selection. We find that...[Show more]
Collections | ANU Research Publications |
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Date published: | 2020 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/219501 |
DOI: | 10.1088/2399-1984/ab9c3b |
Access Rights: | Open Access |
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File | Description | Size | Format | Image |
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Barnard_2020_Nano_Futures_4_035003.pdf | 2.51 MB | Adobe PDF | Request a copy |
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