This site contains data sets used in the joint project of the University of Cologne and the Hochschule Merseburg “Classifying real-world data with the DD?-procedure”. Comprehensive description of the methodology, and experimental settings and results of the study are presented in the work:

Mozharovskyi, P., Mosler, K. and Lange, T. (2014): “Classifying real-world data with the DD?-procedure”. Advances in Data Analysis and Classification, to appear.

For a more complete explanation of the technique and further experiments see:
Lange, T., Mosler, K. and Mozharovskyi, P. (2012): “Fast nonparametric classification based on data depth”. Statistical Papers 55(1), 49-69. (The final publication is available at www.springerlink.com).

50 binary classification tasks have been obtained from partitioning 33 freely accessible data sets. Multiclass problems were reasonably split into binary classification problems, some of the data set were slightly processed by removing objects or attributes and selecting prevailing classes. Each data set is provided with a (short) description and brief descriptive statistics. The name reflects the origination of the data. A letter after the name is a property filter, letters (also their combinations) in brackets separated by "vs" are the classes opposed. The letters (combinations or words) stand for labels of classes (names of properties) and are intuitive. Each description contains a link to the original data.

The data have been collected as open source data in January 2013. Owners of this web page decline any responsibility regarding their correctness or consequences of their usage. If you publish material based on these data, please quote the original source. Special requests regarding citations are found on data set's web page.

The general list of sources consists of:

http://archive.ics.uci.edu/ml, se also Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
http://cran.r-project.org/web/packages
http://lib.stat.cmu.edu/datasets
http://stat.ethz.ch/Teaching/Datasets
http://www.stats.ox.ac.uk/pub/PRNN

All the data sets as *.zip:  

Data table

#	Dataset	n1	n2	n1+n2	d	ln(n1/n2)	(n1+n2)/d	# tied	Download
1.	Baby	161	86	247	5	0,626	49,4	0
2.	Banknoten	100	100	200	6	0	33,3	0
3.	Biomedical	67	127	194	4	-0,635	48,5	0
4.	Blood Transfusion	178	570	748	3	-1,171	249,3	246
5.	Breast Cancer Wisconsin	458	241	699	9	0,642	77,7	236
6.	Bupa Liver Disorder	145	200	345	6	-0,329	57,5	4
7.	Chemical Diabetes (C vs N)	36	76	112	5	-0,755	22,4	0
8.	Chemical Diabetes (C vs O)	36	33	69	5	0,086	13,8	0
9.	Chemical Diabetes (N vs O)	76	33	109	5	0,833	21,8	0
10.	Cloud	54	54	108	7	0	15,4	0
11.	Crabs (B vs O)	100	100	200	5	0	40,0	0
12.	Crabs (M vs F)	100	100	200	5	0	40,0	0
13.	Crabs B (M vs F)	50	50	100	5	0	20,0	0
14.	Crabs F (B vs O)	50	50	100	5	0	20,0	0
15.	Crabs M (B vs O)	50	50	100	5	0	20,0	0
16.	Crabs O (M vs F)	50	50	100	5	0	20,0	0
17.	Cricket (C vs P)	78	78	156	4	0	39,0	7
18.	Diabetes (of Pima Indians)	268	500	768	8	-0,616	96,0	0
19.	Ecoli (CP vs IM)	143	77	220	5	0,621	44,0	0
20.	Ecoli (CP vs PP)	143	52	195	5	1,012	39,0	0
21.	Ecoli (IM vs PP)	77	52	129	5	0,392	25,8	0
22.	Gemsen (M vs F)	796	553	1349	6	0,365	224,8	27
23.	Glass (F vs NF)	70	76	146	9	-0,083	16,2	1
24.	Groessen (M vs F)	116	114	230	3	0,020	76,7	0
25.	Haberman's Survival	225	81	306	3	1,022	102,0	23
26.	Heart	120	150	270	13	-0,223	20,8	0
27.	Hemophilia	30	45	75	2	-0,400	37,5	0
28.	Indian Liver Patient (1 vs 2)	414	165	579	10	0,920	57,9	13
29.	Indian Liver Patient (M vs F)	140	439	579	9	-1,139	64,3	13
30.	Iris Plants (SET vs VER)	50	50	100	4	0	25,0	2
31.	Iris Plants (SET vs VIR)	50	50	100	4	0	25,0	3
32.	Iris Plants (VER vs VIR)	50	50	100	4	0	25,0	1
33.	Irish Educational Transitions (M vs F)	250	250	500	5	0	100,0	44
34.	Kidney (M vs F)	20	56	76	5	-1,022	15,2	0
35.	PIMA (training)	132	68	200	7	0,663	28,6	0
36.	Plasma Retinol and Beta-Carotene Levels (M vs F)	273	42	315	13	1,872	24,2	0
37.	Segmentation (C vs W)	330	330	660	10	0	66,0	62
38.	Social Mobility (I vs NI)	578	578	1156	5	0	231,2	45
39.	Social Mobility (W vs B)	578	578	1156	5	0	231,2	8
40.	Teaching Assistan Evaluation (E vs NE)	29	122	151	5	-1,427	30,2	43
41.	Tennis (M vs F)	42	45	87	15	-0,073	5,8	0
42.	Tips (D vs N)	176	68	244	6	0,952	40,7	1
43.	Tips (M vs F)	87	157	244	6	-0,598	40,7	1
44.	US Crime (S vs N)	16	31	47	13	-0,654	3,6	0
45.	Vertebral Column	210	100	310	6	0,742	51,7	0
46.	Veteran Lung Cancer (S vs T)	69	68	137	7	0,010	19,6	0
47.	Vowel (M vs F)	528	462	990	13	0,131	76,2	0
48.	Wine (1 vs 2)	59	71	130	13	-0,186	10,0	0
49.	Wine (1 vs 3)	59	48	107	13	0,207	8,2	0
50.	Wine (2 vs 3)	71	48	119	13	0,392	9,2	0