{ "data_id": "43553", "name": "cloud-dataset", "exact_name": "cloud-dataset", "version": 1, "version_label": "v1.0", "description": "Data from StatLib (ftp stat.cmu.edu\/datasets)\nThese data are those collected in a cloud-seeding experiment in Tasmania between mid-1964 and January 1971. Their analysis, using regression techniques and permutation tests, is discussed in:\nMiller, A.J., Shaw, D.E., Veitch, L.G. Smith, E.J. (1979).\n Analyzing the results of a cloud-seeding experiment in Tasmania',\n Communications in Statistics - Theory Methods, vol.A8(10),\n 1017-1047.\nThe rainfalls are period rainfalls in inches. TE and TW are the east and west target areas respectively, while NC, SC and NWC are the corresponding rainfalls in the north, south and north-west control areas respectively. S = seeded, U = unseeded.\nRain in eastern target region is being treated as the class attribute. (Attribute for rain in the western target region has been deleted.)", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:49:22", "update_comment": null, "last_update": "2022-03-23 13:49:22", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102378\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "cloud-dataset", "Data from StatLib (ftp stat.cmu.edu\/datasets) These data are those collected in a cloud-seeding experiment in Tasmania between mid-1964 and January 1971. Their analysis, using regression techniques and permutation tests, is discussed in: Miller, A.J., Shaw, D.E., Veitch, L.G. Smith, E.J. (1979). Analyzing the results of a cloud-seeding experiment in Tasmania', Communications in Statistics - Theory Methods, vol.A8(10), 1017-1047. The rainfalls are period rainfalls in inches. TE and TW are the eas " ], "weight": 5 }, "qualities": { "NumberOfInstances": 108, "NumberOfFeatures": 7, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 5, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.06481481481481481, "PercentageOfNumericFeatures": 71.42857142857143, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": null, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "period", "index": "0", "type": "numeric", "distinct": "108", "missing": "0", "min": "1", "max": "194", "mean": "101", "stdev": "58" }, { "name": "seeded", "index": "1", "type": "string", "distinct": "2", "missing": "0" }, { "name": "season", "index": "2", "type": "string", "distinct": "4", "missing": "0" }, { "name": "NC", "index": "3", "type": "numeric", "distinct": "97", "missing": "0", "min": "0", "max": "9", "mean": "2", "stdev": "1" }, { "name": "SC", "index": "4", "type": "numeric", "distinct": "89", "missing": "0", "min": "0", "max": "4", "mean": "1", "stdev": "1" }, { "name": "NWC", "index": "5", "type": "numeric", "distinct": "101", "missing": "0", "min": "0", "max": "8", "mean": "2", "stdev": "2" }, { "name": "TE", "index": "6", "type": "numeric", "distinct": "94", "missing": "0", "min": "0", "max": "6", "mean": "1", "stdev": "1" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }