hepatitis
From MaRDI portal
Dataset:6032911
OpenML dataset with id 55
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/55/hepatitis.arff
Upload date: 6 April 2014
Dataset Characteristics
Number of classes: 2
Number of features: 20 (numeric: 6, symbolic: 14 and in total binary: 14 )
Number of instances: 155
Number of instances with missing values: 75
Number of missing values: 167
Author: Source: Unknown - Please cite:
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). Assistant-86: A
Knowledge-Elicitation Tool for Sophisticated Users. In I.Bratko
& N.Lavrac (Eds.) Progress in Machine Learning, 31-45, Sigma Press.
-- Assistant-86: 83% accuracy
4. Relevant Information:
Please ask Gail Gong for further information on this database.
5. Number of Instances: 155
6. Number of Attributes: 20 (including the class attribute)
7. Attribute information:
1. Class: DIE, LIVE
2. AGE: 10, 20, 30, 40, 50, 60, 70, 80
3. SEX: male, female
4. STEROID: no, yes
5. ANTIVIRALS: no, yes
6. FATIGUE: no, yes
7. MALAISE: no, yes
8. ANOREXIA: no, yes
9. LIVER BIG: no, yes
10. LIVER FIRM: no, yes
11. SPLEEN PALPABLE: no, yes
12. SPIDERS: no, yes
13. ASCITES: no, yes
14. VARICES: no, yes
15. BILIRUBIN: 0.39, 0.80, 1.20, 2.00, 3.00, 4.00
-- see the note below
16. ALK PHOSPHATE: 33, 80, 120, 160, 200, 250
17. SGOT: 13, 100, 200, 300, 400, 500,
18. ALBUMIN: 2.1, 3.0, 3.8, 4.5, 5.0, 6.0
19. PROTIME: 10, 20, 30, 40, 50, 60, 70, 80, 90
20. HISTOLOGY: no, yes
The BILIRUBIN attribute appears to be continuously-valued. I checked
this with the donater, Bojan Cestnik, who replied:
About the hepatitis database and BILIRUBIN problem I would like to say
the following: BILIRUBIN is continuous attribute (= the number of it's
"values" in the ASDOHEPA.DAT file is negative!!!); "values" are quoted
because when speaking about the continuous attribute there is no such
thing as all possible values. However, they represent so called
"boundary" values; according to these "boundary" values the attribute
can be discretized. At the same time, because of the continious
attribute, one can perform some other test since the continuous
information is preserved. I hope that these lines have at least roughly
answered your question.
8. Missing Attribute Values: (indicated by "?")
Attribute Number: Number of Missing Values:
1: 0
2: 0
3: 0
4: 1
5: 0
6: 1
7: 1
8: 1
9: 10
10: 11
11: 5
12: 5
13: 5
14: 5
15: 6
16: 29
17: 4
18: 16
19: 67
20: 0
9. Class Distribution:
DIE: 32
LIVE: 123
Relabeled values in attribute SEX From: 2 To: male From: 1 To: female
Relabeled values in attribute STEROID From: 1 To: no From: 2 To: yes
Relabeled values in attribute ANTIVIRALS From: 2 To: no From: 1 To: yes
Relabeled values in attribute FATIGUE From: 2 To: no From: 1 To: yes
Relabeled values in attribute MALAISE From: 2 To: no From: 1 To: yes
Relabeled values in attribute ANOREXIA From: 2 To: no From: 1 To: yes
Relabeled values in attribute LIVER_BIG From: 1 To: no From: 2 To: yes
Relabeled values in attribute LIVER_FIRM From: 2 To: no From: 1 To: yes
Relabeled values in attribute SPLEEN_PALPABLE From: 2 To: no From: 1 To: yes
Relabeled values in attribute SPIDERS From: 2 To: no From: 1 To: yes
Relabeled values in attribute ASCITES From: 2 To: no From: 1 To: yes
Relabeled values in attribute VARICES From: 2 To: no From: 1 To: yes
Relabeled values in attribute HISTOLOGY From: 1 To: no From: 2 To: yes
This page was built for dataset: hepatitis
