{ "data_id": "44006", "name": "superconduct", "exact_name": "superconduct", "version": 2, "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**Dataset Description**\n\nThe data contains information on 21263 superconductors. The first 81 columns contain extracted\nfeatures and the 82nd column contains the critical temperature which is used as the target\nvariable. The original data from which the features were extracted comes from\nhttp:\/\/supercon.nims.go.jp\/index_en.html, which is public.\n\n**Related studies**\n\nhttps:\/\/www.frontiersin.org\/articles\/10.3389\/fmats.2021.714752\/full\n\n**Source**\n\n[UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/superconductivty+data) (2018)\n\n**Citation**\n\nPlease cite [UCI](https:\/\/archive.ics.uci.edu\/ml\/citation_policy.html)", "format": "arff", "uploader": "Leo Grin", "uploader_id": 26324, "visibility": "public", "creator": null, "contributor": "\"Leo Grin\"", "date": "2022-06-16 20:56:32", "update_comment": null, "last_update": "2022-06-16 20:56:32", "licence": "CC BY 4.0", "status": "active", "error_message": null, "url": "https:\/\/old.openml.org\/data\/download\/22103094\/dataset", "kaggle_url": null, "default_target_attribute": "criticaltemp", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "superconduct", "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: The data contains information on 21263 superconductors. The first 81 columns contain extracted features and the 82nd column contains the critical temperature which is used as the target variable. The original data from which the features were extracted comes from http:\/\/supercon.ni " ], "weight": 5 }, "qualities": { "NumberOfInstances": 21263, "NumberOfFeatures": 80, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 80, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "AutoCorrelation": -9.551585761452351, "PercentageOfNumericFeatures": 100, "Dimensionality": 0.0037624041762686355, "PercentageOfSymbolicFeatures": 0, "MajorityClassPercentage": null, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0 }, "tags": [], "features": [ { "name": "criticaltemp", "index": "79", "type": "numeric", "distinct": "3007", "missing": "0", "target": "1", "min": "0", "max": "185", "mean": "34", "stdev": "34" }, { "name": "mean_atomic_mass", "index": "0", "type": "numeric", 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