{ "data_id": "43983", "name": "pol", "exact_name": "pol", "version": 5, "version_label": "1", "description": "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"classification on numerical features\" benchmark. Original description: \n \n**Author**: \n**Source**: Unknown - \n**Please cite**: \n\nThis is a commercial application described in Weiss & Indurkhya (1995). \n The data describes a telecommunication problem. No further information\n is available.\n \n Characteristics: (10000+5000) cases, 49 continuous attributes \n Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at\n http:\/\/www.ncc.up.pt\/~ltorgo\/Regression\/DataSets.html\n Original Source: The data in the original format can be obtained \n from http:\/\/www.cs.su.oz.au\/~nitin", "format": "arff", "uploader": "Leo Grin", "uploader_id": 26324, "visibility": "public", "creator": null, "contributor": "\"Leo Grin\"", "date": "2022-06-16 20:43:13", "update_comment": null, "last_update": "2022-06-16 20:43:13", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/old.openml.org\/data\/download\/22103071\/dataset", "default_target_attribute": "foo", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "pol", "Dataset used in the tabular data benchmark https:\/\/github.com\/LeoGrin\/tabular-benchmark, transformed in the same way. This dataset belongs to the \"classification on numerical features\" benchmark. Original description: This is a commercial application described in Weiss & Indurkhya (1995). The data describes a telecommunication problem. No further information is available. Characteristics: (10000+5000) cases, 49 continuous attributes Source: collection of regression datasets by Luis Torgo (ltorgo " ], "weight": 5 }, "qualities": { "NumberOfInstances": 15000, "NumberOfFeatures": 27, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 27, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": -39.41869457963864, "PercentageOfMissingValues": 0, "Dimensionality": 0.0018, "PercentageOfNumericFeatures": 100, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0 }, "tags": [ { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "foo", "index": "26", "type": "numeric", "distinct": "11", "missing": "0", "target": "1", "min": "0", "max": "100", "mean": "29", "stdev": "42" }, { "name": "f5", "index": "0", "type": "numeric", "distinct": "184", "missing": "0", "min": "13", "max": "200", "mean": "77", "stdev": "35" }, { "name": "f6", "index": "1", "type": "numeric", "distinct": "118", "missing": "0", "min": "77", "max": "200", "mean": "95", "stdev": "21" }, { "name": "f7", "index": "2", "type": "numeric", "distinct": "114", "missing": "0", "min": "76", "max": "200", "mean": "84", "stdev": "16" }, { "name": "f8", "index": "3", "type": "numeric", "distinct": "106", "missing": "0", "min": "71", "max": "200", "mean": "75", "stdev": "13" }, { "name": "f9", "index": "4", "type": "numeric", "distinct": "80", "missing": "0", "min": "94", "max": "200", "mean": "96", "stdev": "9" }, { "name": "f13", "index": "5", "type": "numeric", "distinct": "97", "missing": "0", "min": "0", "max": "134", "mean": "6", "stdev": "14" }, { "name": "f14", "index": "6", "type": "numeric", "distinct": "117", "missing": "0", "min": "0", "max": "134", "mean": "12", "stdev": "20" }, { "name": "f15", "index": "7", "type": "numeric", "distinct": "121", "missing": "0", "min": "0", "max": "150", "mean": "12", "stdev": "20" }, { "name": "f16", "index": "8", "type": "numeric", "distinct": "120", "missing": "0", "min": "0", "max": "133", "mean": "12", "stdev": "20" }, { "name": "f17", "index": "9", "type": "numeric", "distinct": "120", "missing": "0", "min": "0", "max": "131", "mean": "12", "stdev": "19" }, { "name": "f18", "index": "10", "type": "numeric", "distinct": "123", "missing": "0", "min": "0", "max": "143", "mean": "12", "stdev": "20" }, { "name": "f19", "index": "11", "type": "numeric", "distinct": "102", "missing": "0", "min": "0", "max": "117", "mean": "8", "stdev": "17" }, { "name": "f20", "index": "12", "type": "numeric", "distinct": "86", "missing": "0", "min": "0", "max": "117", "mean": "4", "stdev": "11" }, { "name": "f21", "index": "13", "type": "numeric", "distinct": "85", "missing": "0", "min": "0", "max": "116", "mean": "4", "stdev": "11" }, { "name": "f22", "index": "14", "type": "numeric", "distinct": "88", "missing": "0", "min": "0", "max": "131", "mean": "4", "stdev": "12" }, { "name": "f23", "index": "15", "type": "numeric", "distinct": "79", "missing": "0", "min": "0", "max": "104", "mean": "3", "stdev": "10" }, { "name": "f24", "index": "16", "type": "numeric", "distinct": "63", "missing": "0", "min": "0", "max": "90", "mean": "1", "stdev": "7" }, { "name": "f25", "index": "17", "type": "numeric", "distinct": "68", "missing": "0", "min": "0", "max": "72", "mean": "1", "stdev": "6" }, { "name": "f26", "index": "18", "type": "numeric", "distinct": "68", "missing": "0", "min": "0", "max": "108", "mean": "1", "stdev": "5" }, { "name": "f27", "index": "19", "type": "numeric", "distinct": "65", "missing": "0", "min": "0", "max": "96", "mean": "1", "stdev": "5" }, { "name": "f28", "index": "20", "type": "numeric", "distinct": "64", "missing": "0", "min": "0", "max": "74", "mean": "1", "stdev": "6" }, { "name": "f29", "index": "21", "type": "numeric", "distinct": "62", "missing": "0", "min": "0", "max": "67", "mean": "1", "stdev": "5" }, { "name": "f30", "index": "22", "type": "numeric", "distinct": "44", "missing": "0", "min": "0", "max": "44", "mean": "0", "stdev": "3" }, { "name": "f31", "index": "23", "type": "numeric", "distinct": "43", "missing": "0", "min": "0", "max": "69", "mean": "1", "stdev": "3" }, { "name": "f32", "index": "24", "type": "numeric", "distinct": "42", "missing": "0", "min": "0", "max": "50", "mean": "1", "stdev": "3" }, { "name": "f33", "index": "25", "type": "numeric", "distinct": "38", "missing": "0", "min": "0", "max": "39", "mean": "0", "stdev": "2" } ], "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 }