DataSets repository

Datasets with imperfect values

Datasets with missing values in real/nominal attributes, fuzzy values in real attributes and fuzzy subset values in nominal attributes

Below you can find the datasets available used for the task of imputation and condensation based on low quality data. For each dataset, it is shown its name, attributes (the table details the number of Real/Nominal attributes in the data), number of instances, and classes (number of possible values of the output variable).

In addition, the table shows if the corresponding dataset has missing, and fuzzy and fuzzy subset values (the table shows the percentage of instances with imperfect values).

The table allows to download each dataset (inside a ZIP file).

with missing values, fuzzy values and fuzzy subset values

Name	#Attributes (R/N)	#Examp.	#Class.	Missing values	Fuzzy and fuzzy subsets values	Fuzzy and fuzzy subsets values
(AUS) Australian	14 (8/6)	690	2	No (0%)	Yes (9.57%)	Yes (27.54%)
(AUT) Automobile	25 (15/10)	205	6	Yes (26.83%)	Yes (40.49%)	Yes (60.00%)
(BAL) Balance	4 (4/0)	625	3	No (0.0%)	Yes (3.84%)	Yes (11.84%)
(BAN) Banana	2 (2/0)	5300	2	No (0.0%)	Yes (2.00%)	Yes (5.81%)
(BAD) Bands	19 (19/0)	539	2	Yes (32.28%)	Yes (43.23%)	Yes (62.15%)
(BRE) Breast	9 (0/9)	286	2	Yes (3.15%)	Yes (9.44%)	Yes (18.88%)
(CAR) Car	6 (0/6)	1728	4	No (0.0%)	Yes (5.73%)	Yes (17.42%)
(CHE) Chess	36 (0/36)	3196	2	No (0.0%)	Yes (1.00%)	Yes (3.00%)
(COI) Coil-2000	85 (85/0)	9822	2	No (0.0%)	Yes (57.42%)	Yes (92.36%)
(CON) Contraceptive	9 (9/0)	1473	3	No (0.0%)	Yes (8.76%)	Yes (23.56%)
(DER) Dermatology	34 (34/0)	366	6	Yes (2.19%)	Yes (31.69%)	Yes (65.57%)
(FLA) Flare-solar	11 (0/11)	1066	6	No (0.00%)	Yes (6.38%)	Yes (18.01%)
(GER) German	20 (7/13)	1000	2	No (0.00%)	Yes (21.20%)	Yes (51.70%)
(HEA) Heart	13 (13/0)	270	2	No (0.00%)	Yes (13.33%)	Yes (33.70%)
(MAM) Mammographic	5 (5/0)	961	2	No (0.00%)	Yes (13.63%)	Yes (25.81%)
(NUR) Nursey	8 (0/8)	12960	5	No (0.00%)	Yes (6.72%)	Yes (19.21%)
(PAG) Page-block	10 (10/0)	5472	5	No (0.00%)	Yes (9.61%)	Yes (26.21%)
(PEN) Penbased	16 (16/0)	10992	10	No (0.00%)	Yes (14.80%)	Yes (38.97%)
(PHO) Phoneme	5 (5/0)	5404	2	No (0.00%)	Yes (4.85%)	Yes (14.21%)
(PIM) Pima	8 (8/0)	768	2	No (0.00%)	Yes (7.81%)	Yes (21.22%)
(RIN) Ring	20 (20/0)	7400	2	No (0.00%)	Yes (18.31%)	Yes (45.77%)
(SAT) Satimage	36 (36/0)	6435	7	No (0.00%)	Yes (30.51%)	Yes (67.10%)
(SEG) Segment	19 (19/0)	2310	7	No (0.00%)	Yes (17.01%)	Yes (42.73%)
(SON) Sonar	60 (60/0)	208	2	No (0.00%)	Yes (41.35%)	Yes (83.17%)
(SPA) Spambase	57 (57/0)	4597	2	No (0.00%)	Yes (19.34%)	Yes (46.75%)
(SPE) Spectfheart	44 (44/0)	267	2	No (0.00%)	Yes (28.84%)	Yes (57.30%)
(SPL) Splice	60 (0/60)	3190	3	No (0.00%)	Yes (44.89%)	Yes (84.08%)
(TEX) Texture	40 (40/0)	5500	11	No (0.00%)	Yes (33.31%)	Yes (70.58%)
(THY) Thyroid	21 (21/0)	7200	3	No (0.00%)	Yes (18.97%)	Yes (47.61%)
(TIC) Tic-tac-toe	9 (0/9)	958	2	No (0.00%)	Yes (8.87%)	Yes (23.90%)
(TIT) Titanic	3 (3/0)	2201	2	No (0.00%)	Yes (2.91%)	Yes (8.81%)
(TWO) Twonorm	20 (20/0)	7400	2	No (0.00%)	Yes (18.01%)	Yes (46.03%)
(VOW) Vowel	13 (13/0)	990	11	No (0.0%)	Yes (12.93%)	Yes (32.42%)
(WIS) Wisconsin	9 (9/0)	683	2	Yes (2.29%)	Yes (10.73%)	Yes (25.18%)
(YEA) Yeast	8 (8/0)	1484	10	No (0.00%)	Yes (7.68%)	Yes (21.29%)
(ZOO) Zoo	16 (0/16)	101	7	No (0.00%)	Yes (0.99%)	Yes (2.97%)

All datasets		info.pdf

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