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unknown (from Weka repository)

Dependencies

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arff slurped Weka

Attribute Types

Integer,String

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# Instances: 148 / # Attributes: 19
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Original Data Format

arff

Name

lymphography

Version mldata

0

Comment

Citation Request: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and M. Soklic for providing the data. Please include this citation if you plan to use this database.

1. Title: Lymphography Domain

2. Sources: (a) See Above. (b) Donors: Igor Kononenko, University E.Kardelj Faculty for electrical engineering Trzaska 25 61000 Ljubljana (tel.: (38)(+61) 265-161

           Bojan Cestnik
           Jozef Stefan Institute
           Jamova 39
           61000 Ljubljana
           Yugoslavia (tel.: (38)(+61) 214-399 ext.287)
   

   (c) Date: November 1988

3. Past Usage: (sveral)

   1. 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: 76% accuracy
   2. Clark,P. & Niblett,T. (1987). Induction in Noisy Domains. In I.Bratko & N.Lavrac (Eds.) Progress in Machine Learning, 11-30, Sigma Press. -- Simple Bayes: 83% accuracy -- CN2 (99% threshold): 82%
   3. Michalski,R., Mozetic,I. Hong,J., & Lavrac,N. (1986). The Multi-Purpose Incremental Learning System AQ15 and its Testing Applications to Three Medical Domains. In Proceedings of the Fifth National Conference on Artificial Intelligence, 1041-1045. Philadelphia, PA: Morgan Kaufmann. -- Experts: 85% accuracy (estimate) -- AQ15: 80-82%

4. Relevant Information: This is one of three domains provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. (See also breast-cancer and primary-tumor.)

5. Number of Instances: 148

6. Number of Attributes: 19 including the class attribute

7. Attribute information: --- NOTE: All attribute values in the database have been entered as numeric values corresponding to their index in the list of attribute values for that attribute domain as given below.

   1. class: normal find, metastases, malign lymph, fibrosis
   2. lymphatics: normal, arched, deformed, displaced
   3. block of affere: no, yes
   4. bl. of lymph. c: no, yes
   5. bl. of lymph. s: no, yes
   6. by pass: no, yes
   7. extravasates: no, yes
   8. regeneration of: no, yes
   9. early uptake in: no, yes

8. lym.nodes dimin: 0-3

9. lym.nodes enlar: 1-4

10. changes in lym.: bean, oval, round

11. defect in node: no, lacunar, lac. marginal, lac. central

12. changes in node: no, lacunar, lac. margin, lac. central

13. changes in stru: no, grainy, drop-like, coarse, diluted, reticular, stripped, faint,

14. special forms: no, chalices, vesicles

15. dislocation of: no, yes

16. exclusion of no: no, yes

17. no. of nodes in: 0-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, >=70

18. Missing Attribute Values: None

19. Class Distribution: Class: Number of Instances: normal find: 2 metastases: 81 malign lymph: 61 fibrosis: 4

Relabeled values in attribute 'lymphatics' From: '1' To: normal
From: '2' To: arched
From: '3' To: deformed
From: '4' To: displaced

Relabeled values in attribute 'block_of_affere' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'bl_of_lymph_c' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'bl_of_lymph_s' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'by_pass' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'extravasates' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'regeneration_of' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'early_uptake_in' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'changes_in_lym' From: '1' To: bean
From: '2' To: oval
From: '3' To: round

Relabeled values in attribute 'defect_in_node' From: '1' To: no
From: '2' To: lacunar
From: '3' To: lac_margin
From: '4' To: lac_central

Relabeled values in attribute 'changes_in_node' From: '1' To: no
From: '2' To: lacunar
From: '3' To: lac_margin
From: '4' To: lac_central

Relabeled values in attribute 'changes_in_stru' From: '1' To: no
From: '2' To: grainy
From: '3' To: drop_like
From: '4' To: coarse
From: '5' To: diluted
From: '6' To: reticular
From: '7' To: stripped
From: '8' To: faint

Relabeled values in attribute 'special_forms' From: '1' To: no
From: '2' To: chalices
From: '3' To: vesicles

Relabeled values in attribute 'dislocation_of' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'exclusion_of_no' From: '1' To: no
From: '2' To: yes

Relabeled values in attribute 'class' From: '1' To: normal
From: '2' To: metastases
From: '3' To: malign_lymph
From: '4' To: fibrosis

Names

lymphatics,block_of_affere,bl_of_lymph_c,bl_of_lymph_s,by_pass,extravasates,regeneration_of,early_uptake_in,lym_nodes_dimin,lym_nodes_enlar,

Types

1. nominal:normal,arched,deformed,displaced
2. nominal:no,yes
3. nominal:no,yes
4. nominal:no,yes
5. nominal:no,yes
6. nominal:no,yes
7. nominal:no,yes
8. nominal:no,yes
9. numeric
10. numeric

Data (first 10 data points)

lymp...	bloc...	bl_o...	bl_o...	by_p...	extr...	rege...	earl...	lym_...	lym_...	...
arched	yes	no	no	no	no	no	yes	1	4	...
disp...	yes	no	no	yes	yes	no	yes	1	3	...
defo...	no	no	no	yes	yes	yes	no	3	1	...
arched	no	no	no	no	yes	no	yes	1	2	...
arched	no	no	no	no	no	no	no	1	2	...
arched	no	no	no	no	no	no	yes	1	2	...
defo...	no	no	no	no	no	no	no	1	2	...
defo...	no	no	no	no	no	no	yes	1	4	...
arched	no	no	no	no	no	no	yes	1	3	...
disp...	no	no	no	no	no	no	yes	1	3	...
...	...	...	...	...	...	...	...	...	...	...

Description

A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)

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Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:58

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