{ "data_id": "42360", "name": "DEE", "exact_name": "DEE", "version": 1, "version_label": "1", "description": "Daily electric energy dataset\r\n\r\nThe dee problem involves predicting the daily average price of TkWhe electricity energy in Spain. The data set contains real values from 2003 about the daily consumption in Spain of energy from hydroelectric, nuclear electric, carbon, fuel, natural gas and other special sources of energy.\r\n\r\nMissing values. No\r\n\r\n### Attributes\r\n1. Hydroelectric real[27881.8,206035.0]\r\n2. Nuclear real[114760.0,187105.0]\r\n3. Coal real[33537.0,234833.0]\r\n4. Fuel real[0.0,67986.5]\r\n5. Gas real[0.0,84452.2]\r\n6. Special real[5307.0,16357.0]\r\n7. Consume real[0.765853,5.11875]", "format": "ARFF", "uploader": "Rafael Gomes Mantovani", "uploader_id": 64, "visibility": "public", "creator": null, "contributor": null, "date": "2020-04-19 01:22:14", "update_comment": null, "last_update": "2020-04-19 01:22:14", "licence": "CC0", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/21829182\/dee.arff", "default_target_attribute": "Consume", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "DEE", "Daily electric energy dataset The dee problem involves predicting the daily average price of TkWhe electricity energy in Spain. The data set contains real values from 2003 about the daily consumption in Spain of energy from hydroelectric, nuclear electric, carbon, fuel, natural gas and other special sources of energy. Missing values. No ### Attributes 1. Hydroelectric real[27881.8,206035.0] 2. Nuclear real[114760.0,187105.0] 3. Coal real[33537.0,234833.0] 4. Fuel real[0.0,67986.5] 5. Gas real[0. " ], "weight": 5 }, "qualities": { "NumberOfInstances": 365, "NumberOfFeatures": 7, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 7, "NumberOfSymbolicFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": 0.4187265109890106, "PercentageOfMissingValues": 0, "Dimensionality": 0.019178082191780823, "PercentageOfNumericFeatures": 100, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0 }, "tags": [ { "tag": "study_239", "uploader": "0" } ], "features": [ { "name": "Consume", "index": "6", "type": "numeric", "distinct": "365", "missing": "0", "target": "1", "min": "1", "max": "5", "mean": "3", "stdev": "1" }, { "name": "Hydroelectric", "index": "0", "type": "numeric", "distinct": "365", "missing": "0", "min": "27882", "max": "206035", "mean": "102686", "stdev": "45668" }, { "name": "Nuclear", "index": "1", "type": "numeric", "distinct": "363", "missing": "0", "min": "114760", "max": "187105", "mean": "156775", "stdev": "17812" }, { "name": "Coal", "index": "2", "type": "numeric", "distinct": "364", "missing": "0", "min": "33537", "max": "234833", "mean": "181199", "stdev": "34027" }, { "name": "Fuel", "index": "3", "type": "numeric", "distinct": "343", "missing": "0", "min": "0", "max": "67987", "mean": "19767", "stdev": "17538" }, { "name": "Gas", "index": "4", "type": "numeric", "distinct": "359", "missing": "0", "min": "0", "max": "84452", "mean": "38532", "stdev": "23168" }, { "name": "Special", "index": "5", "type": "numeric", "distinct": "354", "missing": "0", "min": "5307", "max": "16357", "mean": "11713", "stdev": "1938" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 8, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 8, "topics": [ { "uploader": "8111", "topic": "Artificial datasets" } ] }