September 13, 2018 Report Open Access

Data Study Group team

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    <subfield code="a">&lt;p&gt;Data Study Groups are week-long events at The Alan Turing Institute&amp;nbsp;bringing together some of the country&amp;rsquo;s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;CodeCheck: How do our food choices affect climate change?&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Different approaches were proposed to predict the carbon footprint of products from the different datasets provided by CodeCheck.&lt;/p&gt;

&lt;p&gt;Multivariate linear regression and random forest regression models perform well in predicting carbon footprint, especially when - in addition to the nutrition information - the product categories, learned through Latent Dirichlet Allocation (LDA), were used as extra features in the models.&lt;/p&gt;

&lt;p&gt;The prediction accuracy of the models that were considered varied across datasets. A potential way to display the footprint estimates in the app was proposed.&lt;/p&gt;</subfield>
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