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                <identifier>oai:data.mendeley.com/86sd6fwdbw.1</identifier>
                <datestamp>2023-12-06T06:32:19Z</datestamp>
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    <dc:creator>Kang, JinKyu</dc:creator>
    <dc:title>Dataset and python scripts for &apos;Machine learning approaches to predict the decolorization efficiency of UV/H2O2 oxidation in textile wastewater&apos;</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Dataset for the article, Machine learning approaches to predict the decolorization efficiency of UV/H2O2 oxidation in textile wastewater
You can try the procedure of our study by using &apos;ML_models_comparison.ipynb&apos; file.
all.csv and val.csv files are required files for &apos;ML_models_comparison.ipynb&apos; </dc:description>
    <dc:subject>Machine Learning</dc:subject>
    <dc:contributor>Lee, Youn-Jun</dc:contributor>
    <dc:contributor>Son, Chae-Young</dc:contributor>
    <dc:contributor>Park, Seong-Jik</dc:contributor>
    <dc:contributor>Lee, Chang-gu</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/86sd6fwdbw.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/86sd6fwdbw.1</dc:identifier>
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    <dc:date>2023-12-06T06:32:19Z</dc:date>
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