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Dataset from the MLRR repository: http://axon.cs.byu.edu:5000/
731 runs0 likes5 downloads5 reach13 impact
151 instances - 7 features - 3 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
842 runs0 likes7 downloads7 reach7 impact
155 instances - 9 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
140 runs0 likes6 downloads6 reach7 impact
194 instances - 30 features - 2 classes - 0 missing values
DBpedia with top-474 most frequent YAGO types HMC dataset for type prediction. Ingoing and outgoing properties as features
0 runs0 likes3 downloads3 reach3 impact
2886305 instances - 2401 features - classes - 0 missing values
No data.
291 runs0 likes4 downloads4 reach1 impact
1000000 instances - 18 features - 7 classes - 0 missing values
No data.
309 runs0 likes6 downloads6 reach2 impact
1000000 instances - 35 features - 6 classes - 0 missing values
1. Title: Ozone Level Detection 2. Source: Kun Zhang zhang.kun05 '@' gmail.com Department of Computer Science, Xavier University of Lousiana Wei Fan wei.fan '@' gmail.com IBM T.J.Watson Research…
0 runs0 likes1 downloads1 reach5 impact
2536 instances - 73 features - 0 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
0 runs0 likes1 downloads1 reach5 impact
365 instances - 4 features - 0 classes - 30 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
0 runs0 likes0 downloads0 reach5 impact
48 instances - 5 features - 0 classes - 0 missing values
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. Further details concerning the book, including information on statistical…
2 runs0 likes0 downloads0 reach5 impact
100 instances - 4 features - 0 classes - 0 missing values
------------------------------------------------------------------------------- TIME SERIES USED IN LONG-MEMORY PROCESSES, THE ALLAN VARIANCE AND WAVELETS BY D. B. PERCIVAL AND P. GUTTORP, A CHAPTER…
0 runs0 likes1 downloads1 reach5 impact
6875 instances - 1 features - 0 classes - 0 missing values
Data for the sensory evaluation experiment in Brien, C.J. and Payne, R.W. (1996) Tiers, structure formulae and the analysis of complicated experiments. submitted for publication. The experiment…
2 runs0 likes2 downloads2 reach5 impact
576 instances - 12 features - 0 classes - 0 missing values
analcatdata_happiness-pmlb
31 runs0 likes0 downloads0 reach10 impact
60 instances - 4 features - 3 classes - 0 missing values
It has 3 attributes (ID, tweet, label ) 91299 tweets with non-sarcastic 39998 tweets and 51300 sarcastic tweets.
0 runs0 likes0 downloads0 reach1 impact
91298 instances - 2 features - 0 classes - 0 missing values
####1. Summary This dataset contain attributes of dresses and their recommendations according to their sales. Sales are monitor on the basis of alternate days. The attributes present analyzed are:…
16897 runs0 likes5 downloads5 reach10 impact
500 instances - 13 features - 2 classes - 835 missing values
* Abstract: The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system. This is a…
423 runs0 likes13 downloads13 reach5 impact
120 instances - 7 features - 2 classes - 0 missing values
This file contains 9 sets of sanitized user data drawn from the command histories of 8 UNIX computer users at Purdue over the course of up to 2 years (USER0 and USER1 were generated by the same…
11 runs0 likes8 downloads8 reach6 impact
9100 instances - 3 features - 9 classes - 0 missing values
Data from https://doi.org/10.5281/zenodo.269636
0 runs0 likes4 downloads4 reach5 impact
4758 instances - 39 features - classes - 0 missing values
* Abstract: The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system. * Source: Jacek…
391 runs0 likes11 downloads11 reach5 impact
120 instances - 7 features - 2 classes - 0 missing values
A simple database containing 17 Boolean-valued attributes describing animals. The "type" attribute appears to be the class attribute. Notes: * I find it unusual that there are 2 instances of "frog"…
168 runs2 likes16 downloads18 reach1 impact
101 instances - 17 features - 7 classes - 0 missing values
1. Title: Dermatology Database 2. Source Information: (a) Original owners: -- 1. Nilsel Ilter, M.D., Ph.D., Gazi University, School of Medicine 06510 Ankara, Turkey Phone: +90 (312) 214 1080 -- 2. H.…
1752 runs0 likes13 downloads13 reach2 impact
366 instances - 35 features - 6 classes - 8 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
35 runs0 likes2 downloads2 reach6 impact
23 instances - 6 features - 3 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
692 runs0 likes6 downloads6 reach6 impact
83 instances - 4 features - 2 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
581 runs0 likes5 downloads5 reach6 impact
400 instances - 6 features - 4 classes - 0 missing values
This S dump contains 22 data sets from the book Visualizing Data published by Hobart Press (books@hobart.com). The dump was created by data.dump() and can be read back into S by data.restore(). The…
899 runs0 likes7 downloads7 reach6 impact
130 instances - 3 features - 5 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
746 runs0 likes13 downloads13 reach7 impact
1024 instances - 3 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
118 runs0 likes3 downloads3 reach7 impact
195 instances - 12 features - 2 classes - 2 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
739 runs0 likes7 downloads7 reach7 impact
475 instances - 4 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
768 runs0 likes7 downloads7 reach7 impact
450 instances - 4 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
751 runs0 likes7 downloads7 reach7 impact
475 instances - 4 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
764 runs0 likes5 downloads5 reach6 impact
55 instances - 3 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
570 runs0 likes6 downloads6 reach6 impact
100 instances - 4 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1059 runs0 likes8 downloads8 reach7 impact
264 instances - 3 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
708 runs0 likes4 downloads4 reach8 impact
286 instances - 10 features - 2 classes - 9 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
726 runs0 likes6 downloads6 reach6 impact
61 instances - 3 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
760 runs0 likes13 downloads13 reach7 impact
1156 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
176 runs0 likes6 downloads6 reach6 impact
101 instances - 18 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
708 runs0 likes5 downloads5 reach7 impact
365 instances - 4 features - 2 classes - 30 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
723 runs0 likes6 downloads6 reach7 impact
366 instances - 35 features - 2 classes - 8 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
1147 runs0 likes10 downloads10 reach6 impact
138 instances - 3 features - 2 classes - 0 missing values
Wikidata with top-474 most frequent types and ingoing/outgoing properties as features
0 runs0 likes14 downloads14 reach3 impact
19254100 instances - 2331 features - classes - 0 missing values
Nell HMC dataset for type prediction with ingoing/outgoing properties as features
0 runs0 likes0 downloads0 reach3 impact
120720 instances - 769 features - classes - 0 missing values
No data.
71 runs0 likes5 downloads5 reach2 impact
1000000 instances - 17 features - 2 classes - 0 missing values
No data.
356 runs0 likes7 downloads7 reach1 impact
131072 instances - 17 features - 2 classes - 0 missing values
No data.
65 runs0 likes5 downloads5 reach1 impact
1000000 instances - 30 features - 4 classes - 0 missing values
No data.
51 runs1 likes4 downloads5 reach2 impact
1000000 instances - 48 features - 10 classes - 0 missing values
No data.
69 runs0 likes4 downloads4 reach1 impact
1000000 instances - 20 features - 2 classes - 0 missing values
No data.
48 runs1 likes4 downloads5 reach2 impact
1000000 instances - 77 features - 10 classes - 0 missing values
No data.
194 runs0 likes3 downloads3 reach2 impact
1000000 instances - 65 features - 10 classes - 0 missing values
No data.
211 runs0 likes3 downloads3 reach2 impact
1000000 instances - 20 features - 7 classes - 0 missing values
No data.
66 runs0 likes2 downloads2 reach2 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
324 runs0 likes5 downloads5 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
60 runs0 likes2 downloads2 reach2 impact
1000000 instances - 17 features - 26 classes - 0 missing values
No data.
68 runs0 likes11 downloads11 reach1 impact
1000000 instances - 10 features - 2 classes - 0 missing values
No data.
50 runs0 likes1 downloads1 reach2 impact
1000000 instances - 65 features - 10 classes - 0 missing values
No data.
66 runs0 likes3 downloads3 reach1 impact
1000000 instances - 13 features - 6 classes - 0 missing values
No data.
326 runs1 likes4 downloads5 reach2 impact
1000000 instances - 23 features - 2 classes - 0 missing values
No data.
314 runs1 likes8 downloads9 reach2 impact
1000000 instances - 36 features - 19 classes - 0 missing values
No data.
219 runs0 likes4 downloads4 reach2 impact
1000000 instances - 58 features - 2 classes - 0 missing values
No data.
334 runs0 likes4 downloads4 reach2 impact
1000000 instances - 33 features - 2 classes - 0 missing values
No data.
143 runs0 likes3 downloads3 reach2 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
68 runs0 likes2 downloads2 reach1 impact
1000000 instances - 19 features - 4 classes - 0 missing values
No data.
230 runs0 likes4 downloads4 reach2 impact
1000000 instances - 35 features - 2 classes - 0 missing values
No data.
304 runs0 likes6 downloads6 reach2 impact
1000000 instances - 25 features - 10 classes - 0 missing values
No data.
167 runs0 likes8 downloads8 reach2 impact
399940 instances - 1002 features - 2 classes - 0 missing values
Pittsburgh bridges This version is derived from version 2 (the discretized version) by removing all instances with missing values in the last (target) attribute. The bridges dataset is originally not…
31 runs0 likes2 downloads2 reach7 impact
105 instances - 13 features - 6 classes - 61 missing values
No data.
90 runs2 likes3 downloads5 reach2 impact
663552 instances - 13 features - 2 classes - 0 missing values
No data.
307 runs0 likes5 downloads5 reach2 impact
1000000 instances - 4 features - 2 classes - 0 missing values
No data.
31 runs0 likes1 downloads1 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
29 runs0 likes2 downloads2 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
28 runs0 likes1 downloads1 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
29 runs0 likes1 downloads1 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
306 runs0 likes4 downloads4 reach2 impact
1000000 instances - 4 features - 2 classes - 0 missing values
No data.
305 runs0 likes3 downloads3 reach2 impact
1000000 instances - 4 features - 2 classes - 0 missing values
* Dataset: DBworld e-mails data set Task: dbworld-bodies-stemmed * Source: Michele Filannino, PhD University of Manchester Centre for Doctoral Training Email: filannim_AT_cs.man.ac.uk * Data Set…
0 runs0 likes3 downloads3 reach4 impact
64 instances - 3722 features - 2 classes - 0 missing values
* Dataset: DBworld e-mails data set Task: dbworld-bodies * Source: Michele Filannino, PhD University of Manchester Centre for Doctoral Training Email: filannim_AT_cs.man.ac.uk * Data Set Information:…
3 runs0 likes6 downloads6 reach5 impact
64 instances - 4703 features - 2 classes - 0 missing values
* Dataset: DBworld e-mails data set Task: dbworld-subjects-stemmed * Source: Michele Filannino, PhD University of Manchester Centre for Doctoral Training Email: filannim_AT_cs.man.ac.uk * Data Set…
71 runs0 likes2 downloads2 reach5 impact
64 instances - 230 features - 2 classes - 0 missing values
* Dataset: DBworld e-mails data set Task: dbworld-subjects * Source: Michele Filannino, PhD University of Manchester Centre for Doctoral Training Email: filannim_AT_cs.man.ac.uk * Data Set…
40 runs0 likes2 downloads2 reach5 impact
64 instances - 243 features - 2 classes - 0 missing values
No data.
37 runs0 likes2 downloads2 reach3 impact
1000000 instances - 70 features - 24 classes - 0 missing values
No data.
33 runs0 likes4 downloads4 reach3 impact
1000000 instances - 70 features - 24 classes - 0 missing values
No data.
28 runs0 likes1 downloads1 reach3 impact
1000000 instances - 70 features - 24 classes - 0 missing values
No data.
31 runs0 likes1 downloads1 reach3 impact
1000000 instances - 70 features - 24 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach3 impact
24 instances - 5 features - classes - 0 missing values
No data.
29 runs0 likes1 downloads1 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
28 runs0 likes1 downloads1 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
45 runs0 likes2 downloads2 reach1 impact
1000000 instances - 23 features - 2 classes - 0 missing values
Elegibilidade ecommerce
0 runs0 likes0 downloads0 reach0 impact
269177 instances - 2 features - 2 classes - 0 missing values
No data.
28 runs0 likes1 downloads1 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
313 runs0 likes3 downloads3 reach1 impact
1000000 instances - 23 features - 2 classes - 0 missing values
No data.
337 runs1 likes2 downloads3 reach2 impact
1000000 instances - 13 features - 3 classes - 0 missing values
GAMETES_Epistasis_2-Way_1000atts_0.4H_EDM-1_EDM-1_1-pmlb
0 runs0 likes1 downloads1 reach11 impact
1600 instances - 1001 features - 2 classes - 0 missing values
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1-pmlb
31 runs0 likes0 downloads0 reach11 impact
1600 instances - 21 features - 2 classes - 0 missing values
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1-pmlb
31 runs0 likes0 downloads0 reach11 impact
1600 instances - 21 features - 2 classes - 0 missing values
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1-pmlb
31 runs0 likes0 downloads0 reach11 impact
1600 instances - 21 features - 2 classes - 0 missing values
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001-pmlb
0 runs0 likes0 downloads0 reach11 impact
1600 instances - 21 features - 2 classes - 0 missing values
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001-pmlb
31 runs0 likes0 downloads0 reach11 impact
1600 instances - 21 features - 2 classes - 0 missing values
analcatdata_fraud-pmlb
32 runs0 likes0 downloads0 reach10 impact
42 instances - 12 features - 2 classes - 0 missing values
Multi-label dataset. The UC Berkeley enron4 dataset represents a subset of the original enron5 dataset and consists of 1684 cases of emails with 21 labels and 1001 predictor variables.
1 runs0 likes2 downloads2 reach6 impact
1702 instances - 1054 features - 2 classes - 0 missing values
car-evaluation-pmlb
31 runs0 likes1 downloads1 reach10 impact
1728 instances - 22 features - 4 classes - 0 missing values
corral-pmlb
31 runs0 likes1 downloads1 reach11 impact
160 instances - 7 features - 2 classes - 0 missing values