{ "data_id": "44123", "name": "house_16H", "exact_name": "house_16H", "version": 10, "version_label": null, "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 - Date unknown \n**Please cite**: \n\nBinarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N').", "format": "arff", "uploader": "Leo Grin", "uploader_id": 26324, "visibility": "public", "creator": null, "contributor": "\"Leo Grin\"", "date": "2022-07-05 20:24:35", "update_comment": null, "last_update": "2022-07-05 20:24:35", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/api.openml.org\/data\/download\/22103248\/dataset", "default_target_attribute": "binaryClass", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "house_16H", "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: Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N'). " ], "weight": 5 }, "qualities": { "NumberOfInstances": 13488, "NumberOfFeatures": 17, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 16, "NumberOfSymbolicFeatures": 1, "MinorityClassPercentage": 50, "MinorityClassSize": 6744, "NumberOfBinaryFeatures": 1, "PercentageOfBinaryFeatures": 5.88235294117647, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "AutoCorrelation": 0.9999258545265811, "Dimensionality": 0.0012603795966785291, "PercentageOfNumericFeatures": 94.11764705882352, "MajorityClassPercentage": 50, "PercentageOfSymbolicFeatures": 5.88235294117647, "MajorityClassSize": 6744 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "binaryClass", "index": "16", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "N", "P" ], [ [ "6744", "0" ], [ "0", "6744" ] ] ] }, { "name": "P1", "index": "0", "type": "numeric", "distinct": "7289", "missing": "0", "min": "4", "max": "7322564", "mean": "10013", "stdev": "80659" }, { "name": "P5p1", "index": "1", "type": "numeric", "distinct": "11030", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "P6p2", "index": "2", "type": "numeric", "distinct": "8596", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "P11p4", "index": "3", "type": "numeric", "distinct": "12080", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "P14p9", "index": "4", "type": "numeric", "distinct": "10761", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "P15p1", "index": "5", "type": "numeric", "distinct": "11937", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "P15p3", "index": "6", "type": "numeric", "distinct": "6003", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "P16p2", "index": "7", "type": "numeric", "distinct": "10659", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "P18p2", "index": "8", "type": "numeric", "distinct": "4846", "missing": "0", "min": "0", "max": "0", "mean": "0", "stdev": "0" }, { "name": "P27p4", "index": "9", "type": "numeric", "distinct": "8674", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "H2p2", "index": "10", "type": "numeric", "distinct": "10607", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "H8p2", "index": "11", "type": "numeric", "distinct": "7433", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "H10p1", "index": "12", "type": "numeric", "distinct": "7687", "missing": "0", "min": "0", "max": "1", "mean": "1", "stdev": "0" }, { "name": "H13p1", "index": "13", "type": "numeric", "distinct": "11397", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "H18pA", "index": "14", "type": "numeric", "distinct": "6737", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" }, { "name": "H40p4", "index": "15", "type": "numeric", "distinct": "2048", "missing": "0", "min": "0", "max": "1", "mean": "0", "stdev": "0" } ], "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 }