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DEXTER is a text classification problem in a bag-of-word representation. This is a two-class classification problem with sparse continuous input variables. This dataset is one of five datasets of the…
0 runs0 likes5 downloads5 reach11 impact
600 instances - 20001 features - 2 classes - 0 missing values
simple engine data
52 runs0 likes5 downloads5 reach4 impact
383 instances - 6 features - 3 classes - 0 missing values
Om algos te testen
74 runs0 likes5 downloads5 reach7 impact
14240 instances - 31 features - 2 classes - 0 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 reach4 impact
191260 instances - 479 features - 0 classes - 5587563 missing values
No data.
73 runs0 likes5 downloads5 reach2 impact
1000000 instances - 16 features - 2 classes - 0 missing values
No data.
87 runs0 likes5 downloads5 reach2 impact
295245 instances - 11 features - 5 classes - 0 missing values
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324 runs0 likes5 downloads5 reach2 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
48 runs1 likes4 downloads5 reach2 impact
1000000 instances - 77 features - 10 classes - 0 missing values
Donor: David W. Aha (aha@ics.uci.edu) This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one…
37 runs0 likes5 downloads5 reach1 impact
303 instances - 14 features - 0 classes - 6 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…
7 runs1 likes4 downloads5 reach1 impact
159 instances - 16 features - 0 classes - 0 missing values
This is 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 we…
2 runs0 likes5 downloads5 reach1 impact
8192 instances - 9 features - 0 classes - 0 missing values
This is an artificial data set described in Breiman et al. (1984,p.238) (with variance 1 instead of 2). Generate the values of the 10 attributes independently using the following probabilities: P(X_1…
2 runs1 likes4 downloads5 reach2 impact
40768 instances - 11 features - 0 classes - 0 missing values
No data.
73 runs0 likes5 downloads5 reach1 impact
1000000 instances - 30 features - 2 classes - 0 missing values
No data.
330 runs0 likes5 downloads5 reach2 impact
1000000 instances - 4 features - 2 classes - 0 missing values
No data.
290 runs0 likes5 downloads5 reach2 impact
1000000 instances - 77 features - 10 classes - 0 missing values
No data.
163 runs0 likes5 downloads5 reach1 impact
1000000 instances - 28 features - 2 classes - 0 missing values
No data.
51 runs1 likes4 downloads5 reach2 impact
1000000 instances - 48 features - 10 classes - 0 missing values
No data.
71 runs0 likes5 downloads5 reach2 impact
1000000 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
Automated file upload of BNG(ionosphere)
99 runs1 likes4 downloads5 reach3 impact
1000000 instances - 35 features - 2 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 reach6 impact
2800 instances - 27 features - 5 classes - 0 missing values
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102 runs0 likes5 downloads5 reach5 impact
705 instances - 38 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 reach5 impact
200 instances - 14 features - 5 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 reach6 impact
7400 instances - 21 features - 2 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 reach5 impact
126 instances - 311 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 reach6 impact
28056 instances - 7 features - 18 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 reach5 impact
768 instances - 10 features - 37 classes - 0 missing values
"The speech dataset was also provided by (see citation request) and contains real world data from recorded English language. The normal class contains data from persons having an American accent…
1599 runs0 likes5 downloads5 reach9 impact
3686 instances - 401 features - 2 classes - 0 missing values
Multi-label dataset. The birds dataset consists of 327 audio recordings of 12 different vocalizing bird species. Each sound can be assigned to various bird species.
0 runs0 likes5 downloads5 reach3 impact
645 instances - 279 features - 2 classes - 0 missing values
* Dataset Title: Vertebra Column - 3 classes * Abstract: Data set containing values for six biomechanical features used to classify orthopaedic patients into 3 classes (normal, disk hernia or…
154 runs0 likes5 downloads5 reach5 impact
310 instances - 7 features - 3 classes - 0 missing values
* Dataset Title: Vertebra Column - 2 classes * Abstract: Data set containing values for six biomechanical features used to classify orthopaedic patients into 3 classes (normal, disk hernia or…
124 runs0 likes5 downloads5 reach6 impact
310 instances - 7 features - 2 classes - 0 missing values
No data.
307 runs0 likes5 downloads5 reach2 impact
1000000 instances - 4 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 reach5 impact
210 instances - 8 features - 3 classes - 0 missing values
This dataset was retrieved 2014-11-14 from the UCI site and converted to the ARFF format. __Major changes w.r.t. version 3: dataset from UCI that matches description and data types__ ### Feature…
4196 runs0 likes5 downloads5 reach6 impact
690 instances - 15 features - 2 classes - 0 missing values
Small dataset with time series of RAM prices over the years.
0 runs1 likes4 downloads5 reach4 impact
333 instances - 3 features - 0 classes - 0 missing values
The data was collected retrospectively at Wroclaw Thoracic Surgery Centre for patients who underwent major lung resections for primary lung cancer in the years 2007 - 2011. The Centre is associated…
31 runs0 likes5 downloads5 reach5 impact
470 instances - 17 features - 2 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 likes5 downloads5 reach7 impact
1025009 instances - 11 features - 10 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…
76 runs0 likes5 downloads5 reach8 impact
187 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…
77 runs0 likes5 downloads5 reach8 impact
250 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…
77 runs0 likes5 downloads5 reach8 impact
275 instances - 10937 features - 2 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: A4 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
136 runs0 likes5 downloads5 reach7 impact
1515 instances - 4 features - 5 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 reach6 impact
106 instances - 10 features - 6 classes - 0 missing values
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745 instances - 37 features - 2 classes - 0 missing values
Dataset Title: Localization Data for Person Activity Data Set Abstract: Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing…
6 runs0 likes5 downloads5 reach7 impact
164860 instances - 8 features - 11 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 reach6 impact
360 instances - 1301 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…
728 runs0 likes5 downloads5 reach7 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…
680 runs0 likes5 downloads5 reach8 impact
1945 instances - 19 features - 2 classes - 1133 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 reach8 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…
723 runs0 likes5 downloads5 reach8 impact
418 instances - 19 features - 2 classes - 1239 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 reach7 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…
722 runs0 likes5 downloads5 reach8 impact
285 instances - 8 features - 2 classes - 27 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 reach8 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…
717 runs0 likes5 downloads5 reach7 impact
90 instances - 9 features - 2 classes - 3 missing values
No data.
940 runs0 likes5 downloads5 reach4 impact
74 instances - 63 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…
752 runs0 likes5 downloads5 reach7 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…
683 runs0 likes5 downloads5 reach7 impact
60 instances - 11 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…
686 runs0 likes5 downloads5 reach8 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…
705 runs0 likes5 downloads5 reach8 impact
398 instances - 8 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…
723 runs0 likes5 downloads5 reach7 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…
112 runs0 likes5 downloads5 reach7 impact
42 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…
744 runs0 likes5 downloads5 reach7 impact
130 instances - 10 features - 2 classes - 97 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 reach7 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…
708 runs0 likes5 downloads5 reach8 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…
727 runs0 likes5 downloads5 reach8 impact
205 instances - 26 features - 2 classes - 59 missing values
Dataset from `Pattern Recognition and Neural Networks' by B.D. Ripley. Cambridge University Press (1996) ISBN 0-521-46086-7 The background to the datasets is described in section 1.4; this file…
587 runs0 likes5 downloads5 reach7 impact
61 instances - 19 features - 4 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 reach7 impact
400 instances - 6 features - 4 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…
119 runs0 likes5 downloads5 reach7 impact
50 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…
101 runs0 likes5 downloads5 reach8 impact
1161 instances - 17 features - 2 classes - 256 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…
731 runs0 likes5 downloads5 reach7 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…
120 runs0 likes5 downloads5 reach7 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…
732 runs0 likes5 downloads5 reach7 impact
63 instances - 32 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…
106 runs0 likes5 downloads5 reach7 impact
76 instances - 46 features - 2 classes - 22 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 reach8 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…
103 runs0 likes5 downloads5 reach7 impact
107 instances - 13 features - 2 classes - 71 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 likes5 downloads5 reach8 impact
63 instances - 32 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…
111 runs0 likes5 downloads5 reach7 impact
52 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…
721 runs0 likes5 downloads5 reach7 impact
60 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…
700 runs0 likes5 downloads5 reach7 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…
687 runs0 likes5 downloads5 reach7 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…
717 runs0 likes5 downloads5 reach8 impact
303 instances - 14 features - 2 classes - 7 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 likes5 downloads5 reach7 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…
114 runs0 likes5 downloads5 reach7 impact
42 instances - 17 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…
115 runs0 likes5 downloads5 reach7 impact
40 instances - 3 features - 2 classes - 0 missing values
No data.
296 runs0 likes5 downloads5 reach15 impact
96 instances - 4027 features - 9 classes - 19667 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…
740 runs0 likes5 downloads5 reach7 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…
455 runs0 likes5 downloads5 reach7 impact
108 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…
737 runs0 likes5 downloads5 reach7 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…
730 runs0 likes5 downloads5 reach7 impact
93 instances - 23 features - 2 classes - 14 missing values
No data.
697 runs0 likes5 downloads5 reach7 impact
89 instances - 9 features - 2 classes - 0 missing values
No data.
718 runs0 likes5 downloads5 reach7 impact
63 instances - 30 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…
737 runs0 likes5 downloads5 reach8 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…
766 runs0 likes5 downloads5 reach7 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…
736 runs0 likes5 downloads5 reach7 impact
92 instances - 6 features - 2 classes - 26 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…
119 runs0 likes5 downloads5 reach7 impact
39 instances - 4 features - 2 classes - 0 missing values
No data.
219 runs0 likes5 downloads5 reach11 impact
414 instances - 6430 features - 9 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 reach7 impact
95 instances - 10 features - 5 classes - 9 missing values
No data.
203 runs0 likes5 downloads5 reach11 impact
878 instances - 7455 features - 10 classes - 0 missing values
No data.
283 runs0 likes5 downloads5 reach15 impact
96 instances - 4027 features - 11 classes - 19667 missing values
Dataset from the MLRR repository: http://axon.cs.byu.edu:5000/
731 runs0 likes5 downloads5 reach15 impact
151 instances - 7 features - 3 classes - 0 missing values
Dataset from the MLRR repository: http://axon.cs.byu.edu:5000/
180 runs0 likes5 downloads5 reach16 impact
294 instances - 12 features - 2 classes - 0 missing values