Canlyniadau chwilio ar gyfer web
Mireinio'r canlyniadau
Clirio'r cyfan42 canlyniadau
Nid oes unrhyw ganlyniadau cyfatebol
Dewis pwnc arall neu clirio pob hidlydd.
Nid yw holl gynnwys y cyfrifia wedi'i ryddhau. Edrychwch am ddatganiadau sydd i ddod ar y calendr datganiadau. Fel arall, gallwch greu set ddata eich fun.
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Confusion matrix for classification of web-scraped clothing data
A confusion matrix can be used to compare a machine’s predictions against human classification. We can use confusion matrices to understand the consumption segments that the classifier is struggling to distinguish between. A confusion matrix for our XGBoost classification of web-scraped clothing data is available in this data download.
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Research indices using web scraped price data - Appendix tables
This workbook presents experimental price indices that are constructed from ONS web scraped data from three grocery retailers since May 2014. These are early analysis using experimental techniques to help us develop our statistical methodology and are not comparable with headline estimates of inflation. We would strongly caution against their use in economic modelling and analysis.
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Research indices using web scraped price data (clothing): appendix tables
Presents experimental price indices that are constructed from web scraped clothing data. These are early analysis using experimental techniques to help us develop our statistical methodology and are not comparable with headline estimates of inflation. We would strongly caution against their use in economic modelling and analysis.
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Research indices using web scraped price data
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Research indices using web scraped price data
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Research indices using web scraped price data
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Automated classification of web-scraped clothing data in consumer price statistics
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Research indices using web scraped price data
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Using statistical distributions to estimate weights for web-scraped price quotes in consumer price statistics
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UK e-commerce web sales to private customers by industrial sector, by selected 2 digit SIC, 2018