{ "data_id": "55", "name": "hepatitis", "exact_name": "hepatitis", "version": 1, "version_label": "1", "description": "**Author**: \n**Source**: Unknown - \n**Please cite**: \n\n1. Title: Hepatitis Domain\n \n 2. Sources:\n (a) unknown\n (b) Donor: G.Gong (Carnegie-Mellon University) via \n Bojan Cestnik\n Jozef Stefan Institute\n Jamova 39\n 61000 Ljubljana\n Yugoslavia (tel.: (38)(+61) 214-399 ext.287) }\n (c) Date: November, 1988\n \n 3. Past Usage:\n 1. Diaconis,P. & Efron,B. (1983). Computer-Intensive Methods in \n Statistics. Scientific American, Volume 248.\n -- Gail Gong reported a 80% classfication accuracy\n 2. Cestnik,G., Konenenko,I, & Bratko,I. (1987). Assistant-86: A\n Knowledge-Elicitation Tool for Sophisticated Users. In I.Bratko\n & N.Lavrac (Eds.) Progress in Machine Learning, 31-45, Sigma Press.\n -- Assistant-86: 83% accuracy\n \n 4. Relevant Information:\n Please ask Gail Gong for further information on this database.\n \n 5. Number of Instances: 155\n \n 6. Number of Attributes: 20 (including the class attribute)\n \n 7. Attribute information: \n 1. Class: DIE, LIVE\n 2. AGE: 10, 20, 30, 40, 50, 60, 70, 80\n 3. SEX: male, female\n 4. STEROID: no, yes\n 5. ANTIVIRALS: no, yes\n 6. FATIGUE: no, yes\n 7. MALAISE: no, yes\n 8. ANOREXIA: no, yes\n 9. LIVER BIG: no, yes\n 10. LIVER FIRM: no, yes\n 11. SPLEEN PALPABLE: no, yes\n 12. SPIDERS: no, yes\n 13. ASCITES: no, yes\n 14. VARICES: no, yes\n 15. BILIRUBIN: 0.39, 0.80, 1.20, 2.00, 3.00, 4.00\n -- see the note below\n 16. ALK PHOSPHATE: 33, 80, 120, 160, 200, 250\n 17. SGOT: 13, 100, 200, 300, 400, 500, \n 18. ALBUMIN: 2.1, 3.0, 3.8, 4.5, 5.0, 6.0\n 19. PROTIME: 10, 20, 30, 40, 50, 60, 70, 80, 90\n 20. HISTOLOGY: no, yes\n \n The BILIRUBIN attribute appears to be continuously-valued. I checked\n this with the donater, Bojan Cestnik, who replied:\n \n About the hepatitis database and BILIRUBIN problem I would like to say\n the following: BILIRUBIN is continuous attribute (= the number of it's\n \"values\" in the ASDOHEPA.DAT file is negative!!!); \"values\" are quoted\n because when speaking about the continuous attribute there is no such \n thing as all possible values. However, they represent so called\n \"boundary\" values; according to these \"boundary\" values the attribute\n can be discretized. At the same time, because of the continious\n attribute, one can perform some other test since the continuous\n information is preserved. I hope that these lines have at least roughly \n answered your question. \n \n 8. Missing Attribute Values: (indicated by \"?\")\n Attribute Number: Number of Missing Values:\n 1: 0\n 2: 0\n 3: 0\n 4: 1\n 5: 0\n 6: 1\n 7: 1\n 8: 1\n 9: 10\n 10: 11\n 11: 5\n 12: 5\n 13: 5\n 14: 5\n 15: 6\n 16: 29\n 17: 4\n 18: 16\n 19: 67\n 20: 0\n \n 9. Class Distribution:\n DIE: 32\n LIVE: 123\n \n \n\n\n\n\n Relabeled values in attribute SEX\n From: 2 To: male \n From: 1 To: female \n\n\n Relabeled values in attribute STEROID\n From: 1 To: no \n From: 2 To: yes \n\n\n Relabeled values in attribute ANTIVIRALS\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute FATIGUE\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute MALAISE\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute ANOREXIA\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute LIVER_BIG\n From: 1 To: no \n From: 2 To: yes \n\n\n Relabeled values in attribute LIVER_FIRM\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute SPLEEN_PALPABLE\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute SPIDERS\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute ASCITES\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute VARICES\n From: 2 To: no \n From: 1 To: yes \n\n\n Relabeled values in attribute HISTOLOGY\n From: 1 To: no \n From: 2 To: yes", "format": "ARFF", "uploader": "Jan van Rijn", "uploader_id": 1, "visibility": "public", "creator": null, "contributor": null, "date": "2014-04-06 23:23:13", "update_comment": null, "last_update": "2014-04-06 23:23:13", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/55\/dataset_55_hepatitis.arff", "default_target_attribute": "Class", "row_id_attribute": null, "ignore_attribute": null, "runs": 2134, "suggest": { "input": [ "hepatitis", "1. Title: Hepatitis Domain 2. Sources: (a) unknown (b) Donor: G.Gong (Carnegie-Mellon University) via Bojan Cestnik Jozef Stefan Institute Jamova 39 61000 Ljubljana Yugoslavia (tel.: (38)(+61) 214-399 ext.287) } (c) Date: November, 1988 3. Past Usage: 1. Diaconis,P. & Efron,B. (1983). Computer-Intensive Methods in Statistics. Scientific American, Volume 248. -- Gail Gong reported a 80% classfication accuracy 2. Cestnik,G., Konenenko,I, & Bratko,I. (1987). 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"uploader": "64" }, { "tag": "study_52", "uploader": "64" }, { "tag": "uci", "uploader": "1" } ], "features": [ { "name": "Class", "index": "19", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "DIE", "LIVE" ], [ [ "32", "0" ], [ "0", "123" ] ] ] }, { "name": "AGE", "index": "0", "type": "numeric", "distinct": "49", "missing": "0", "min": "7", "max": "78", "mean": "41", "stdev": "13" }, { "name": "SEX", "index": "1", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "male", "female" ], [ [ "0", "16" ], [ "32", "107" ] ] ] }, { "name": "STEROID", "index": "2", "type": "nominal", "distinct": "2", "missing": "1", "distr": [ [ "no", "yes" ], [ [ "20", "56" ], [ "12", "66" ] ] ] }, { "name": "ANTIVIRALS", "index": "3", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "no", "yes" ], [ [ "30", "101" ], [ "2", "22" ] ] ] }, { "name": "FATIGUE", "index": "4", "type": "nominal", "distinct": "2", "missing": "1", "distr": [ [ "no", "yes" ], [ [ "2", "52" ], [ "30", "70" ] ] ] }, { "name": "MALAISE", "index": "5", "type": "nominal", "distinct": "2", "missing": "1", "distr": [ [ "no", "yes" ], [ [ "9", "84" ], [ "23", "38" ] ] ] }, { "name": "ANOREXIA", "index": "6", "type": "nominal", "distinct": "2", "missing": "1", "distr": [ [ "no", "yes" ], [ [ "22", "100" ], [ "10", "22" ] ] ] }, { "name": "LIVER_BIG", "index": "7", "type": "nominal", "distinct": "2", "missing": "10", "distr": [ [ "no", "yes" ], [ [ "3", "22" ], [ "24", "96" ] ] ] }, { "name": "LIVER_FIRM", "index": "8", "type": "nominal", "distinct": "2", "missing": "11", "distr": [ [ "no", "yes" ], [ [ "14", "70" ], [ "13", "47" ] ] ] }, { "name": "SPLEEN_PALPABLE", "index": "9", "type": "nominal", "distinct": "2", "missing": "5", "distr": [ [ "no", "yes" ], [ [ "19", "101" ], [ "12", "18" ] ] ] }, { "name": "SPIDERS", "index": "10", "type": "nominal", "distinct": "2", "missing": "5", "distr": [ [ "no", "yes" ], [ [ "9", "90" ], [ "22", "29" ] ] ] }, { 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"max": "100", "mean": "62", "stdev": "23" }, { "name": "HISTOLOGY", "index": "18", "type": "nominal", "distinct": "2", "missing": "0", "distr": [ [ "no", "yes" ], [ [ "7", "78" ], [ "25", "45" ] ] ] } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 1, "nr_of_downloads": 12, "total_downloads": 13, "reach": 13, "reuse": 1, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 1 }