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####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.
73 runs0 likes5 downloads5 reach0 impact
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
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
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
Multi-label dataset. Audio dataset (emotions) consists of 593 musical files with 6 clustered emotional labels and 72 predictors. Each song can be labeled with one or more of the labels…
0 runs1 likes5 downloads6 reach2 impact
593 instances - 78 features - 2 classes - 0 missing values
Citation Request: This dataset is public available for research. The details are described in [Cortez et al., 2009]. Please include this citation if you plan to use this database: P. Cortez, A.…
64 runs1 likes5 downloads6 reach4 impact
4898 instances - 12 features - 7 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.
718 runs0 likes5 downloads5 reach5 impact
63 instances - 30 features - 2 classes - 0 missing values
No data.
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
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.
283 runs0 likes5 downloads5 reach11 impact
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…
736 runs1 likes5 downloads6 reach6 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…
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
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
This data set addresses a control problem, namely flying a F16 aircraft. The attributes describe the status of the aeroplane, while the goal is to predict the control action on the ailerons of the…
0 runs0 likes5 downloads5 reach4 impact
13750 instances - 41 features - 0 classes - 0 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
This is an artificial data set with dependencies between the attribute values. The cases are generated using the following method: X1 : uniformly distributed over [-5,5] X2 : uniformly distributed…
0 runs1 likes5 downloads6 reach4 impact
40768 instances - 11 features - 0 classes - 0 missing values
This is one of a family of datasets synthetically generated from a realistic simulation of the dynamics of a Unimation Puma 560 robot arm. There are eight datastets in this family . In this repository…
0 runs0 likes5 downloads5 reach4 impact
8192 instances - 33 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…
110 runs0 likes5 downloads5 reach5 impact
42 instances - 11 features - 2 classes - 0 missing values
No data.
65 runs0 likes4 downloads4 reach0 impact
1000000 instances - 40 features - 2 classes - 0 missing values
No data.
63 runs0 likes4 downloads4 reach0 impact
1000000 instances - 19 features - 4 classes - 0 missing values
No data.
48 runs1 likes4 downloads5 reach0 impact
1000000 instances - 77 features - 10 classes - 0 missing values
No data.
51 runs1 likes4 downloads5 reach0 impact
1000000 instances - 48 features - 10 classes - 0 missing values
No data.
326 runs1 likes4 downloads5 reach0 impact
1000000 instances - 23 features - 2 classes - 0 missing values
No data.
69 runs0 likes4 downloads4 reach0 impact
1000000 instances - 20 features - 2 classes - 0 missing values
No data.
230 runs0 likes4 downloads4 reach0 impact
1000000 instances - 35 features - 2 classes - 0 missing values
No data.
219 runs0 likes4 downloads4 reach0 impact
1000000 instances - 58 features - 2 classes - 0 missing values
No data.
334 runs0 likes4 downloads4 reach0 impact
1000000 instances - 33 features - 2 classes - 0 missing values
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics; (b) its assigned insurance risk rating,; (c) its normalized losses in use as…
6 runs1 likes4 downloads5 reach0 impact
159 instances - 16 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
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
No data.
68 runs0 likes4 downloads4 reach0 impact
1000000 instances - 23 features - 2 classes - 0 missing values
No data.
326 runs0 likes4 downloads4 reach0 impact
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
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 reach5 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…
491 runs0 likes4 downloads4 reach4 impact
364 instances - 33 features - 6 classes - 101 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…
103 runs0 likes4 downloads4 reach5 impact
92 instances - 11 features - 2 classes - 0 missing values
CODING: ITEM 1 = BUSINESS CONDIDIONS 6 MONTHS FROM NOW (CONFERENCE BOARD) ITEM 2 = JOBS 6 MONTHS FROM NOW (CONFERENCE BOARD) ITEM 3 = FAMILY INCOME 6 MONTHS FROM NOW (CONFERENCE BOARD) ITEM 4 =…
560 runs0 likes4 downloads4 reach5 impact
72 instances - 4 features - 6 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…
75 runs0 likes4 downloads4 reach6 impact
275 instances - 10937 features - 2 classes - 0 missing values
No data.
292 runs0 likes4 downloads4 reach0 impact
1000000 instances - 37 features - 6 classes - 0 missing values
* Abstract: Purpose is to predict poker hands * Source - Creators: Robert Cattral (cattral '@' gmail.com) Franz Oppacher (oppacher '@' scs.carleton.ca) Carleton University, Department of Computer…
1 runs0 likes4 downloads4 reach5 impact
1025009 instances - 11 features - 10 classes - 0 missing values
Newsweeder: Learning to filter netnews. In Proceedings of the Twelfth International Conference on Machine Learning, pages 331-339, 1995. #Dataset from the LIBSVM data repository. Preprocessing: First…
0 runs0 likes4 downloads4 reach4 impact
19928 instances - 62062 features - 0 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: D4 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
121 runs0 likes4 downloads4 reach4 impact
8654 instances - 4 features - 5 classes - 0 missing values