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The specific dataset that we use here corresponds to using a window of 5 days (i.e. features attributes correspond to the values of the six water quality variables up to 5 days in the past) and a lead of 5 days (i.e. we predict the values of each variable 6 days ahead).", "format": "ARFF", "uploader": "Quay Au", "uploader_id": 2373, "visibility": "public", "creator": null, "contributor": null, "date": "2019-03-14 18:07:34", "update_comment": null, "last_update": "2019-03-14 18:07:34", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/21230431\/file17307a1d55b2.arff", "default_target_attribute": "Target,Target_2,Target_3,Target_4,Target_5,Target_6", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "andro", "Multivariate regression data set from: https:\/\/link.springer.com\/article\/10.1007%2Fs10994-016-5546-z : The Andromeda dataset (Hatzikos et al. 2008) concerns the prediction of future values for six water quality variables (temperature, pH, conductivity, salinity, oxygen, turbidity) in Thermaikos Gulf of Thessaloniki, Greece. 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