OpenML
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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…
774 runs0 likes9 downloads9 reach7 impact
559 instances - 5 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…
652 runs0 likes15 downloads15 reach7 impact
12960 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…
717 runs0 likes5 downloads5 reach6 impact
90 instances - 9 features - 2 classes - 3 missing values
Dataset from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch), which consisted of 5 different datasets (SYLVA, GINA, NOVA, HIVA, ADA). The purpose of the challenge…
68261 runs0 likes20 downloads20 reach18 impact
3468 instances - 971 features - 2 classes - 0 missing values
Datasets from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch) Dataset from: http://www.agnostic.inf.ethz.ch/datasets.php Modified by TunedIT (converted to ARFF…
486 runs0 likes14 downloads14 reach8 impact
14395 instances - 109 features - 2 classes - 0 missing values
Datasets from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch) Dataset from: http://www.agnostic.inf.ethz.ch/datasets.php Modified by TunedIT (converted to ARFF…
396 runs0 likes16 downloads16 reach7 impact
3468 instances - 785 features - 10 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…
736 runs1 likes5 downloads6 reach7 impact
452 instances - 280 features - 2 classes - 408 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…
754 runs0 likes10 downloads10 reach8 impact
8844 instances - 57 features - 2 classes - 34843 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…
676 runs0 likes13 downloads13 reach7 impact
10992 instances - 17 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…
728 runs0 likes7 downloads7 reach7 impact
2000 instances - 241 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…
722 runs0 likes6 downloads6 reach7 impact
683 instances - 36 features - 2 classes - 2337 missing values
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable,…
747 runs0 likes7 downloads7 reach6 impact
145 instances - 95 features - 2 classes - 0 missing values
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable,…
109963 runs1 likes19 downloads20 reach19 impact
15545 instances - 6 features - 2 classes - 0 missing values
Jarkko Salojarvi, Kai Puolamaki, Jaana Simola, Lauri Kovanen, Ilpo Kojo, Samuel Kaski. Inferring Relevance from Eye Movements: Feature Extraction. Helsinki University of Technology, Publications in…
440 runs0 likes10 downloads10 reach7 impact
10936 instances - 28 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…
757 runs0 likes8 downloads8 reach7 impact
400 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…
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…
794 runs0 likes9 downloads9 reach7 impact
2000 instances - 65 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…
781 runs0 likes12 downloads12 reach7 impact
5473 instances - 11 features - 2 classes - 0 missing values
No data.
747 runs0 likes7 downloads7 reach7 impact
369 instances - 9 features - 2 classes - 0 missing values
classification
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It contains 19 house features plus the price and the id columns,…
0 runs0 likes0 downloads0 reach0 impact
21613 instances - 20 features - 0 classes - 0 missing values
Public procurement data for the European Economic Area, Switzerland, and the Macedonia. 2015
0 runs0 likes0 downloads0 reach0 impact
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach0 impact
150 instances - 5 features - 3 classes - 0 missing values
Israeli lottery
0 runs0 likes0 downloads0 reach0 impact
1153 instances - 11 features - classes - 0 missing values
50% stratified subsample of the original SVHN data
0 runs0 likes0 downloads0 reach0 impact
49644 instances - 3073 features - 10 classes - 0 missing values
nfl_games
0 runs0 likes0 downloads0 reach0 impact
16274 instances - 12 features - classes - 0 missing values
exercises
0 runs0 likes0 downloads0 reach0 impact
15000 instances - 8 features - classes - 0 missing values
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime…
0 runs0 likes1 downloads1 reach0 impact
1090 instances - 145 features - 0 classes - 0 missing values
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime…
0 runs0 likes0 downloads0 reach0 impact
218 instances - 144 features - 5 classes - 0 missing values
exercises
0 runs0 likes0 downloads0 reach0 impact
15000 instances - 8 features - classes - 0 missing values
source: An Algorithm Selection Benchmark for the Container Pre-Marshalling Problem (CPMP) authors: K. Tierney and Y. Malitsky (features) / K. Tierney and D. Pacino and S. Voss (algorithms) translator…
13 runs0 likes0 downloads0 reach0 impact
527 instances - 23 features - 4 classes - 0 missing values
source: An Algorithm Selection Benchmark for the Container Pre-Marshalling Problem (CPMP) authors: K. Tierney and Y. Malitsky (features) / K. Tierney and D. Pacino and S. Voss (algorithms) translator…
0 runs0 likes1 downloads1 reach0 impact
2108 instances - 24 features - 0 classes - 0 missing values
2
0 runs0 likes0 downloads0 reach0 impact
375840 instances - 12 features - classes - 0 missing values
Branin test
0 runs0 likes0 downloads0 reach0 impact
225 instances - 3 features - classes - 0 missing values
Regroups information for about 7800 different US colleges. Including geographical information, stats about the population attending and post graduation career earnings.
0 runs0 likes0 downloads0 reach0 impact
Estimated article influence scores in 2015
0 runs0 likes0 downloads0 reach0 impact
3615 instances - 7 features - 3169 classes - 48 missing values
Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2016. This information will be published annually each…
0 runs0 likes0 downloads0 reach0 impact
9228 instances - 13 features - 0 classes - 11169 missing values
The Inpatient Utilization and Payment Public Use File (Inpatient PUF) provides information on inpatient discharges for Medicare fee-for-service beneficiaries. The Inpatient PUF includes information on…
0 runs0 likes0 downloads0 reach0 impact
163065 instances - 12 features - 0 classes - 0 missing values
Regroups information for about 7800 different US colleges. Including geographical information, stats about the population attending and post graduation career earnings.
0 runs0 likes0 downloads0 reach0 impact
7063 instances - 50 features - 0 classes - 125494 missing values
This dataset reflects incidents of crime in the City of Los Angeles dating back to 2010. This data is transcribed from original crime reports that are typed on paper and therefore there may be some…
0 runs0 likes0 downloads0 reach0 impact
1468825 instances - 26 features - 0 classes - 7881776 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 3 features - 0 classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 3 features - 0 classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 3 features - 0 classes - 0 missing values
Public procurement data for the European Economic Area, Switzerland, and the Macedonia. 2015
0 runs0 likes0 downloads0 reach0 impact
This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of…
0 runs0 likes0 downloads0 reach0 impact
1586614 instances - 13 features - 104 classes - 68148 missing values
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It contains 19 house features plus the price and the id columns,…
0 runs0 likes0 downloads0 reach0 impact
21613 instances - 20 features - classes - 0 missing values
General Description 2015-current: greater than $200.00. The Commission categorizes contributions from individuals using the calendar year-to-date amount for political action committee (PAC) and party…
0 runs0 likes0 downloads0 reach0 impact
3348209 instances - 21 features - 0 classes - 10786577 missing values
This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of…
0 runs0 likes0 downloads0 reach0 impact
1586614 instances - 13 features - 104 classes - 68148 missing values
This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of…
0 runs0 likes0 downloads0 reach0 impact
1586614 instances - 13 features - 104 classes - 68148 missing values
This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of…
0 runs0 likes0 downloads0 reach0 impact
1586614 instances - 13 features - 104 classes - 68148 missing values
Employee remuneration and expenses (earning over 75,000CAD per year). This data set includes remuneration and expenses from employees earning over 75,000CAD per year. Attributes: NAME: Name of…
0 runs0 likes0 downloads0 reach0 impact
This data set contains unweighted PUMS census data from the Los Angeles and Long Beach areas for the years 1970, 1980, and 1990. The coding schemes have been standardized (by the IPUMS project) to be…
434 runs0 likes10 downloads10 reach6 impact
7019 instances - 61 features - 8 classes - 48089 missing values
No data.
414 runs0 likes8 downloads8 reach51 impact
690 instances - 8262 features - 10 classes - 0 missing values
No data.
215 runs0 likes7 downloads7 reach10 impact
204 instances - 5833 features - 6 classes - 0 missing values
No data.
426 runs0 likes15 downloads15 reach76 impact
2463 instances - 2001 features - 17 classes - 0 missing values
No data.
220 runs0 likes7 downloads7 reach10 impact
336 instances - 7903 features - 6 classes - 0 missing values
No data.
219 runs0 likes5 downloads5 reach10 impact
414 instances - 6430 features - 9 classes - 0 missing values
No data.
211 runs0 likes4 downloads4 reach10 impact
313 instances - 5805 features - 8 classes - 0 missing values
No data.
203 runs0 likes5 downloads5 reach10 impact
878 instances - 7455 features - 10 classes - 0 missing values
No data.
222 runs0 likes10 downloads10 reach7 impact
1504 instances - 2887 features - 13 classes - 0 missing values
No data.
428 runs0 likes12 downloads12 reach52 impact
1003 instances - 3183 features - 10 classes - 0 missing values
No data.
416 runs1 likes13 downloads14 reach52 impact
1050 instances - 3239 features - 10 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…
50 runs0 likes5 downloads5 reach6 impact
95 instances - 10 features - 5 classes - 9 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…
537 runs0 likes4 downloads4 reach6 impact
285 instances - 8 features - 7 classes - 27 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…
32 runs0 likes2 downloads2 reach6 impact
57 instances - 12 features - 5 classes - 1 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…
1028 runs0 likes8 downloads8 reach6 impact
132 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…
1114 runs0 likes9 downloads9 reach6 impact
120 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…
0 runs0 likes0 downloads0 reach3 impact
163 instances - 28 features - 5 classes - 9 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…
886 runs0 likes8 downloads8 reach7 impact
264 instances - 5 features - 2 classes - 0 missing values
Data on educational transitions for a sample of 500 Irish schoolchildren aged 11 in 1967. The data were collected by Greaney and Kelleghan (1984), and reanalyzed by Raftery and Hout (1985, 1993). ###…
16022 runs0 likes15 downloads15 reach17 impact
500 instances - 6 features - 2 classes - 32 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…
1086 runs0 likes8 downloads8 reach6 impact
132 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…
773 runs0 likes6 downloads6 reach6 impact
100 instances - 51 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…
773 runs0 likes11 downloads11 reach7 impact
8641 instances - 5 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…
512 runs0 likes7 downloads7 reach6 impact
130 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…
842 runs0 likes9 downloads9 reach7 impact
323 instances - 5 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…
762 runs0 likes9 downloads9 reach7 impact
315 instances - 14 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…
1173 runs0 likes8 downloads8 reach6 impact
100 instances - 6 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…
779 runs0 likes7 downloads7 reach7 impact
400 instances - 8 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…
791 runs0 likes7 downloads7 reach7 impact
400 instances - 8 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…
643 runs0 likes8 downloads8 reach7 impact
1000 instances - 11 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…
113 runs0 likes4 downloads4 reach6 impact
40 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…
772 runs0 likes7 downloads7 reach7 impact
500 instances - 51 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…
617 runs0 likes11 downloads11 reach7 impact
1000 instances - 26 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…
817 runs0 likes7 downloads7 reach7 impact
250 instances - 51 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…
653 runs0 likes10 downloads10 reach7 impact
1000 instances - 11 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…
154 runs0 likes9 downloads9 reach7 impact
2001 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…
788 runs0 likes7 downloads7 reach7 impact
400 instances - 8 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 likes6 downloads6 reach7 impact
400 instances - 8 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…
847 runs0 likes7 downloads7 reach7 impact
250 instances - 6 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…
624 runs0 likes8 downloads8 reach7 impact
1000 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…
744 runs0 likes8 downloads8 reach8 impact
7019 instances - 61 features - 2 classes - 43814 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…
810 runs0 likes7 downloads7 reach7 impact
846 instances - 19 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…
622 runs0 likes6 downloads6 reach8 impact
10108 instances - 69 features - 2 classes - 2699 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…
717 runs0 likes5 downloads5 reach7 impact
303 instances - 14 features - 2 classes - 7 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…
141 runs0 likes7 downloads7 reach6 impact
500 instances - 24 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…
700 runs0 likes5 downloads5 reach6 impact
67 instances - 16 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…
712 runs0 likes8 downloads8 reach7 impact
898 instances - 39 features - 2 classes - 22175 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…
701 runs0 likes3 downloads3 reach7 impact
736 instances - 20 features - 2 classes - 448 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…
765 runs0 likes12 downloads12 reach7 impact
1728 instances - 7 features - 2 classes - 0 missing values