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27 runs1 likes4 downloads5 reach0 impact
1000000 instances - 26 features - 7 classes - 0 missing values
No data.
27 runs0 likes5 downloads5 reach0 impact
1000000 instances - 26 features - 7 classes - 0 missing values
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1000000 instances - 10 features - 2 classes - 0 missing values
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1000000 instances - 4 features - 2 classes - 0 missing values
* Donor: David W. Aha (aha '@' ics.uci.edu) (714) 856-8779 * Data Set Information: This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In…
159 runs1 likes4 downloads5 reach4 impact
200 instances - 14 features - 5 classes - 0 missing values
* Dataset Title: MicroMass - Mixed (mixed spectra version) * Abstract: A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data. * Source:…
64 runs1 likes4 downloads5 reach4 impact
360 instances - 1301 features - 10 classes - 0 missing values
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705 instances - 38 features - 2 classes - 0 missing values
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745 instances - 37 features - 2 classes - 0 missing values
Abstract: A chess endgame data set representing the positions on the board of the white king, the white rook, and the black king. The task is to determine the optimum number of turn required for white…
25 runs0 likes5 downloads5 reach5 impact
28056 instances - 7 features - 18 classes - 0 missing values
Dataset title laLSVT Voice Rehabilitation Data Set Source: The dataset was created by Athanasios Tsanas (tsanasthanasis '@' gmail.com) of the University of Oxford. Abstract: 126 samples from 14…
162 runs0 likes5 downloads5 reach4 impact
126 instances - 311 features - 2 classes - 0 missing values
Source: The dataset was created by Angeliki Xifara (angxifara @ gmail.com, Civil/Structural Engineer) and was processed by Athanasios Tsanas (tsanasthanasis @ gmail.com, Oxford Centre for Industrial…
103 runs1 likes4 downloads5 reach4 impact
768 instances - 10 features - 37 classes - 0 missing values
* Source: JP Marques de Sá, INEB-Instituto de Engenharia Biomédica, Porto, Portugal; e-mail: jpmdesa '@' gmail.com J Jossinet, inserm, Lyon, France * Data Set Information: Impedance measurements…
280 runs0 likes5 downloads5 reach4 impact
106 instances - 10 features - 6 classes - 0 missing values
* Twonorm dataset This is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution…
118 runs0 likes5 downloads5 reach5 impact
7400 instances - 21 features - 2 classes - 0 missing values
* Title: seeds Data Set * Abstract: Measurements of geometrical properties of kernels belonging to three different varieties of wheat. A soft X-ray technique and GRAINS package were used to construct…
190 runs0 likes5 downloads5 reach4 impact
210 instances - 8 features - 3 classes - 0 missing values
DOROTHEA is a drug discovery dataset. Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive. This is one of 5 datasets of the…
0 runs0 likes5 downloads5 reach8 impact
1150 instances - 100001 features - 2 classes - 0 missing values
Om algos te testen
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14240 instances - 31 features - 2 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:…
13194 runs0 likes5 downloads5 reach8 impact
500 instances - 13 features - 2 classes - 835 missing values
Dataset KDD98 challenge: https://kdd.ics.uci.edu/databases/kddcup98/kddcup98.html The goal is to estimate the return from a direct mailing in order to maximize donation profits. This dataset…
0 runs0 likes5 downloads5 reach3 impact
191260 instances - 479 features - 0 classes - 5587563 missing values
No data.
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1000000 instances - 16 features - 2 classes - 0 missing values
Dataset from the MLRR repository: http://axon.cs.byu.edu:5000/
180 runs0 likes5 downloads5 reach12 impact
294 instances - 12 features - 2 classes - 0 missing values
No data.
697 runs0 likes5 downloads5 reach5 impact
89 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…
103 runs0 likes5 downloads5 reach5 impact
107 instances - 13 features - 2 classes - 71 missing values
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality…
2860 runs0 likes5 downloads5 reach15 impact
1545 instances - 10937 features - 2 classes - 0 missing values
No data.
90 runs2 likes3 downloads5 reach0 impact
663552 instances - 13 features - 2 classes - 0 missing values
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality…
2847 runs0 likes5 downloads5 reach15 impact
1545 instances - 10937 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
303 instances - 14 features - 2 classes - 7 missing values
wind daily average wind speeds for 1961-1978 at 12 synoptic meteorological stations in the Republic of Ireland (Haslett and raftery 1989). These data were analyzed in detail in the following article:…
0 runs0 likes5 downloads5 reach4 impact
6574 instances - 15 features - 0 classes - 0 missing values
No data.
330 runs0 likes5 downloads5 reach0 impact
1000000 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…
50 runs0 likes5 downloads5 reach5 impact
95 instances - 10 features - 5 classes - 9 missing values
A family of datasets synthetically generated from a simulation of how bank-customers choose their banks. Tasks are based on predicting the fraction of bank customers who leave the bank because of full…
0 runs0 likes5 downloads5 reach4 impact
8192 instances - 9 features - 0 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…
735 runs0 likes5 downloads5 reach5 impact
47 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…
680 runs0 likes5 downloads5 reach6 impact
1945 instances - 19 features - 2 classes - 1133 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 reach5 impact
400 instances - 6 features - 4 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…
109 runs0 likes5 downloads5 reach5 impact
52 instances - 4 features - 2 classes - 0 missing values
No data.
203 runs0 likes5 downloads5 reach9 impact
878 instances - 7455 features - 10 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 reach5 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…
726 runs0 likes5 downloads5 reach5 impact
52 instances - 10 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…
738 runs0 likes5 downloads5 reach5 impact
51 instances - 7 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…
730 runs0 likes5 downloads5 reach5 impact
93 instances - 23 features - 2 classes - 14 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…
750 runs0 likes5 downloads5 reach5 impact
48 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…
721 runs0 likes5 downloads5 reach5 impact
34 instances - 9 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…
683 runs0 likes5 downloads5 reach5 impact
60 instances - 11 features - 2 classes - 14 missing values
Automated file upload of BNG(ionosphere)
99 runs1 likes4 downloads5 reach0 impact
1000000 instances - 35 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…
511 runs0 likes5 downloads5 reach6 impact
185 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…
729 runs0 likes5 downloads5 reach5 impact
93 instances - 7 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…
721 runs0 likes5 downloads5 reach5 impact
60 instances - 8 features - 2 classes - 0 missing values
No data.
163 runs0 likes5 downloads5 reach0 impact
1000000 instances - 28 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…
686 runs0 likes5 downloads5 reach6 impact
782 instances - 9 features - 2 classes - 466 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…
737 runs0 likes5 downloads5 reach6 impact
303 instances - 14 features - 2 classes - 6 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…
117 runs0 likes5 downloads5 reach5 impact
39 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…
118 runs0 likes5 downloads5 reach5 impact
50 instances - 8 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 reach6 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…
722 runs0 likes5 downloads5 reach6 impact
285 instances - 8 features - 2 classes - 27 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…
706 runs0 likes5 downloads5 reach5 impact
62 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…
101 runs0 likes5 downloads5 reach6 impact
1161 instances - 17 features - 2 classes - 256 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…
716 runs0 likes5 downloads5 reach6 impact
412 instances - 9 features - 2 classes - 96 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…
698 runs0 likes5 downloads5 reach5 impact
36 instances - 23 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…
721 runs0 likes5 downloads5 reach6 impact
226 instances - 70 features - 2 classes - 317 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…
687 runs0 likes5 downloads5 reach5 impact
52 instances - 24 features - 2 classes - 39 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 reach5 impact
67 instances - 16 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…
114 runs0 likes5 downloads5 reach5 impact
70 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…
707 runs0 likes5 downloads5 reach5 impact
52 instances - 25 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…
717 runs0 likes5 downloads5 reach5 impact
90 instances - 9 features - 2 classes - 3 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…
732 runs0 likes5 downloads5 reach5 impact
63 instances - 32 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…
453 runs0 likes5 downloads5 reach5 impact
108 instances - 5 features - 2 classes - 0 missing values
No data.
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63 instances - 30 features - 2 classes - 0 missing values
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290 runs0 likes5 downloads5 reach0 impact
1000000 instances - 77 features - 10 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…
736 runs0 likes5 downloads5 reach5 impact
92 instances - 6 features - 2 classes - 26 missing values
The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the demand for clean air', J. Environ. Economics & Management, vol.5, 81-102, 1978. Used in Belsley, Kuh & Welsch,…
4 runs0 likes5 downloads5 reach8 impact
506 instances - 14 features - 0 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…
727 runs0 likes5 downloads5 reach6 impact
205 instances - 26 features - 2 classes - 59 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…
744 runs0 likes5 downloads5 reach5 impact
130 instances - 10 features - 2 classes - 97 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…
112 runs0 likes5 downloads5 reach5 impact
42 instances - 17 features - 2 classes - 0 missing values
Data from the RSCTC 2010 Discovery Challenge. All datasets contain between 100 and 400 samples, characterized by values of 20,000 - 65,000 attributes. Samples are assigned to several (2-10) classes.…
46 runs0 likes5 downloads5 reach6 impact
159 instances - 61360 features - 2 classes - 0 missing values
No data.
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96 instances - 4027 features - 11 classes - 19667 missing values
No data.
87 runs0 likes5 downloads5 reach0 impact
295245 instances - 11 features - 5 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…
106 runs0 likes5 downloads5 reach5 impact
76 instances - 46 features - 2 classes - 22 missing values
Normalized form of codrna (351) Andrew V Uzilov, Joshua M Keegan, and David H Mathews. Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change. BMC…
309 runs0 likes5 downloads5 reach0 impact
488565 instances - 9 features - 2 classes - 0 missing values
This simple domain contains 7 Boolean attributes and 10 classes, the set of decimal digits. Recall that LED displays contain 7 light-emitting diodes -- hence the reason for 7 attributes. The class…
11926 runs0 likes5 downloads5 reach8 impact
500 instances - 8 features - 10 classes - 0 missing values
simple engine data
52 runs0 likes5 downloads5 reach3 impact
383 instances - 6 features - 3 classes - 0 missing values
General Description of Thyroid Disease Databases and Related Files This directory contains 6 databases, corresponding test set, and corresponding documentation. They were left at the University of…
92 runs0 likes5 downloads5 reach4 impact
2800 instances - 27 features - 5 classes - 0 missing values
No data.
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1000000 instances - 40 features - 2 classes - 0 missing values
No data.
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1000000 instances - 19 features - 4 classes - 0 missing values
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1000000 instances - 20 features - 2 classes - 0 missing values
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1000000 instances - 35 features - 2 classes - 0 missing values
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1000000 instances - 58 features - 2 classes - 0 missing values
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1000000 instances - 33 features - 2 classes - 0 missing values
1. Title: Wisconsin Prognostic Breast Cancer (WPBC) 2. Source Information a) Creators: Dr. William H. Wolberg, General Surgery Dept., University of Wisconsin, Clinical Sciences Center, Madison, WI…
5 runs0 likes4 downloads4 reach0 impact
194 instances - 33 features - 0 classes - 0 missing values
No data.
310 runs0 likes4 downloads4 reach0 impact
1000000 instances - 11 features - 2 classes - 0 missing values
Synthetic dataset. Almost identical to [dataset 152](https://www.openml.org/d/153/edit)
319 runs0 likes4 downloads4 reach0 impact
1000000 instances - 11 features - 2 classes - 0 missing values
This database was designed on the basis of data provided by US Census Bureau [http://www.census.gov] (under Lookup Access [http://www.census.gov/cdrom/lookup]: Summary Tape File 1). The data were…
2 runs1 likes3 downloads4 reach0 impact
22784 instances - 9 features - 0 classes - 0 missing values
No data.
291 runs0 likes4 downloads4 reach0 impact
1000000 instances - 18 features - 7 classes - 0 missing values
No data.
326 runs0 likes4 downloads4 reach0 impact
1000000 instances - 14 features - 2 classes - 0 missing values
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1000000 instances - 23 features - 2 classes - 0 missing values
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1000000 instances - 16 features - 2 classes - 0 missing values
University of Sao Paulo, School of Art, Sciences and Humanities, Sao Paulo, SP, Brazil ### LIBRAS Movement Database LIBRAS, acronym of the Portuguese name "LIngua BRAsileira de Sinais", is the…
0 runs0 likes4 downloads4 reach6 impact
360 instances - 91 features - 0 classes - 0 missing values
No data.
310 runs0 likes4 downloads4 reach0 impact
1000000 instances - 19 features - 4 classes - 0 missing values
No data.
211 runs0 likes4 downloads4 reach9 impact
313 instances - 5805 features - 8 classes - 0 missing values
Squash Harvest Unstored Data source: Winna Harvey Crop and Food Research, Christchurch, New Zealand The purpose of the research was to determine the changes taking place in squash fruit during the…
876 runs0 likes4 downloads4 reach6 impact
52 instances - 24 features - 3 classes - 39 missing values
White Clover Persistence Trials Data source: Ian Tarbotton AgResearch, Whatawhata Research Centre, Hamilton, New Zealand The objective was to determine the mechanisms which influence the persistence…
858 runs0 likes4 downloads4 reach6 impact
63 instances - 32 features - 4 classes - 0 missing values
Squash Harvest Stored Data source: Winna Harvey Crop and Food Research, Christchurch, New Zealand The purpose of the research was to determine the changes taking place in squash fruit during the…
867 runs0 likes4 downloads4 reach6 impact
52 instances - 25 features - 3 classes - 7 missing values