{ "data_id": "354", "name": "poker", "exact_name": "poker", "version": 1, "version_label": null, "description": "**Author**: UCI \n**Source**: [original](http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvmtools\/datasets) - \n**Please cite**: \n\nThis is the poker dataset, retrieved 2013-11-14 from the libSVM site. Additional to the preprocessing done there (see LibSVM site for details), this dataset was created as follows: \n\n-join test and train datasets (non-scaled versions) \n-relabel classes 0=positive class and 1,2,...9=negative class \n-normalize each file columnwise according to the following rules: \n-If a column only contains one value (constant feature), it will set to zero and thus removed by sparsity. \n-If a column contains two values (binary feature), the value occuring more often will be set to zero, the other to one. \n-If a column contains more than two values (multinary\/real feature), the column is divided by its std deviation. \n\nNOTE: please keep in mind that poker has a mild redundancy, e.g. some duplicated data points, roughly 0.2%, within each file (train,test). these duplicated points have not been removed!\n", "format": "Sparse_ARFF", "uploader": "aydin demircioglu", "uploader_id": 167, "visibility": "public", "creator": "\"UCI\"", "contributor": null, "date": "2014-08-29 19:20:49", "update_comment": null, "last_update": "2014-08-29 19:20:49", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/52257\/phpQfR7GF", "kaggle_url": null, "default_target_attribute": "Y", "row_id_attribute": null, "ignore_attribute": null, "runs": 23, "suggest": { "input": [ "poker", "This is the poker dataset, retrieved 2013-11-14 from the libSVM site. 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