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Vehicle classification in distributed sensor networks. Journal of Parallel and Distributed Computing, 64(7):826-838, July 2004. This is the SensIT Vehicle (combined) dataset, retrieved 2013-11-14 from…
403 runs0 likes22 downloads22 reach8 impact
98528 instances - 101 features - 2 classes - 0 missing values
SPECT heart data This is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks. Sources: --…
1296 runs1 likes12 downloads13 reach8 impact
267 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…
733 runs0 likes9 downloads9 reach8 impact
7485 instances - 56 features - 2 classes - 32427 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…
169 runs0 likes8 downloads8 reach8 impact
600 instances - 62 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
708 runs0 likes4 downloads4 reach8 impact
286 instances - 10 features - 2 classes - 9 missing values
One of the NASA Metrics Data Program defect data sets. Data from flight software for earth orbiting satellite. Data comes from McCabe and Halstead features extractors of source code. These features…
875 runs0 likes12 downloads12 reach8 impact
5589 instances - 37 features - 2 classes - 0 missing values
Short Summary: Lists estimates of the percentage of body fat determined by underwater weighing and various body circumference measurements for 252 men. Classroom use of this data set: This data set…
0 runs0 likes4 downloads4 reach7 impact
252 instances - 15 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2 and 8 deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…
2 runs0 likes2 downloads2 reach7 impact
209 instances - 8 features - 0 classes - 0 missing values
1. Title: meta-data 2. Sources: (a) Creator: LIACC - University of Porto R.Campo Alegre 823 4150 PORTO (b) Donor: P.B.Brazdil or J.Gama Tel.: +351 600 1672 LIACC, University of Porto Fax.: +351 600…
32 runs0 likes2 downloads2 reach7 impact
528 instances - 22 features - 0 classes - 504 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2,4, and 6 deleted. Midrange price treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M.…
0 runs0 likes0 downloads0 reach7 impact
93 instances - 23 features - 0 classes - 14 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…
78 runs0 likes2 downloads2 reach7 impact
363 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 likes2 downloads2 reach7 impact
329 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 likes3 downloads3 reach7 impact
337 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…
65 runs0 likes3 downloads3 reach7 impact
468 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…
67 runs0 likes1 downloads1 reach7 impact
458 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…
65 runs0 likes3 downloads3 reach7 impact
470 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 likes3 downloads3 reach7 impact
193 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 likes2 downloads2 reach7 impact
203 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…
65 runs0 likes2 downloads2 reach7 impact
347 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 likes3 downloads3 reach7 impact
355 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 likes4 downloads4 reach7 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…
65 runs0 likes2 downloads2 reach7 impact
324 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 likes2 downloads2 reach7 impact
413 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…
80 runs0 likes5 downloads5 reach7 impact
405 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 likes2 downloads2 reach7 impact
201 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…
65 runs0 likes2 downloads2 reach7 impact
412 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…
78 runs0 likes3 downloads3 reach7 impact
421 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 likes2 downloads2 reach7 impact
384 instances - 10937 features - 2 classes - 0 missing values
Mega watt
183 runs0 likes8 downloads8 reach7 impact
253 instances - 38 features - 2 classes - 0 missing values
Costa madre 1
90 runs0 likes6 downloads6 reach7 impact
296 instances - 38 features - 2 classes - 0 missing values
* Dataset: Reduced version (10 % of the examples) of bank-marketing dataset.
104 runs1 likes16 downloads17 reach7 impact
4521 instances - 17 features - 2 classes - 0 missing values
No data.
0 runs0 likes3 downloads3 reach7 impact
697641 instances - 47237 features - 0 classes - 0 missing values
This S dump contains 22 data sets from the book Visualizing Data published by Hobart Press (books@hobart.com). The dump was created by data.dump() and can be read back into S by data.restore(). The…
0 runs0 likes1 downloads1 reach7 impact
323 instances - 5 features - 0 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…
79 runs0 likes2 downloads2 reach7 impact
322 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…
66 runs0 likes1 downloads1 reach7 impact
386 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…
65 runs0 likes1 downloads1 reach7 impact
185 instances - 10937 features - 2 classes - 0 missing values
No data.
697 runs0 likes7 downloads7 reach7 impact
320 instances - 9 features - 2 classes - 0 missing values
Airlines Dataset Inspired in the regression dataset from Elena Ikonomovska. The task is to predict whether a given flight will be delayed, given the information of the scheduled departure.
287 runs0 likes26 downloads26 reach7 impact
539383 instances - 8 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…
65 runs0 likes3 downloads3 reach7 impact
267 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 likes3 downloads3 reach7 impact
484 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…
76 runs0 likes4 downloads4 reach7 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…
66 runs0 likes2 downloads2 reach7 impact
195 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 likes4 downloads4 reach7 impact
275 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…
65 runs0 likes1 downloads1 reach7 impact
321 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…
66 runs0 likes3 downloads3 reach7 impact
259 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…
65 runs0 likes1 downloads1 reach7 impact
410 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…
131 runs1 likes9 downloads10 reach7 impact
990 instances - 14 features - 2 classes - 0 missing values
* Dataset Title: Wall-Following Robot Navigation Data Data Set (version with 4 Attributes) * Abstract: The data were collected as the SCITOS G5 robot navigates through the room following the wall in a…
138 runs1 likes6 downloads7 reach7 impact
5456 instances - 5 features - 4 classes - 0 missing values
Pittsburgh bridges This version is derived from version 1 by removing all instances with missing values in the last (target) attribute. The bridges dataset is originally not a classification dataset,…
31 runs0 likes1 downloads1 reach7 impact
105 instances - 13 features - 6 classes - 61 missing values
Pittsburgh bridges This version is derived from version 2 (the discretized version) by removing all instances with missing values in the last (target) attribute. The bridges dataset is originally not…
31 runs0 likes2 downloads2 reach7 impact
105 instances - 13 features - 6 classes - 61 missing values
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.…
48 runs0 likes5 downloads5 reach7 impact
159 instances - 61360 features - 2 classes - 0 missing values
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand. Source: TunedIT: http://tunedit.org/repo/DASL DASL file…
2 runs0 likes1 downloads1 reach7 impact
53 instances - 12 features - 0 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
50 runs0 likes2 downloads2 reach7 impact
92 instances - 6 features - 0 classes - 26 missing values
* Dataset: Hill valley dataset. A noiseless version of the data set.
117 runs0 likes8 downloads8 reach7 impact
1212 instances - 101 features - 2 classes - 0 missing values
Om algos te testen
74 runs0 likes5 downloads5 reach7 impact
14240 instances - 31 features - 2 classes - 0 missing values
Datasets for `Pattern Recognition and Neural Networks' by B.D. Ripley ===================================================================== Cambridge University Press (1996) ISBN 0-521-46086-7 The…
743 runs0 likes8 downloads8 reach7 impact
200 instances - 8 features - 2 classes - 0 missing values
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 Bioinformatics, 7(173), 2006. This…
31 runs0 likes10 downloads10 reach7 impact
488565 instances - 9 features - 2 classes - 0 missing values
This is the poker dataset, retrieved 2013-11-14 from the libSVM site. Additional to the preprocessing done there (see LibSVM site for details), this dataset was created as follows: -join test and…
23 runs0 likes17 downloads17 reach7 impact
1025010 instances - 11 features - 2 classes - 0 missing values
Data originating from the book "Analyzing Categorical Data" by Jeffrey S. Simonoff.
1085 runs0 likes9 downloads9 reach7 impact
50 instances - 5 features - 2 classes - 0 missing values
This is the famous covertype dataset in its binary version, retrieved 2013-11-13 from the libSVM site (called covtype.binary there). Additional to the preprocessing done there (see LibSVM site for…
22 runs0 likes8 downloads8 reach7 impact
581012 instances - 55 features - 2 classes - 0 missing values
Source: Ashwin Srinivasan Department of Statistics and Data Modeling University of Strathclyde Glasgow Scotland UK ross '@' uk.ac.turing The original Landsat data for this database was generated from…
1 runs1 likes6 downloads7 reach7 impact
6435 instances - 37 features - 0 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 reach7 impact
360 instances - 91 features - 0 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 reach7 impact
4898 instances - 12 features - 7 classes - 0 missing values
__Changes w.r.t. version 1: included one target factor with 7 levels as target variable for the classification. Also deleted the previous 7 binary target variables.__ A dataset of steel plates'…
7067 runs1 likes1 downloads2 reach7 impact
1941 instances - 28 features - 7 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes0 downloads0 reach7 impact
5418 instances - 1637 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes1 downloads1 reach7 impact
2984 instances - 145 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes0 downloads0 reach7 impact
5124 instances - 21 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes2 downloads2 reach7 impact
10000 instances - 2001 features - 5 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes0 downloads0 reach7 impact
8237 instances - 801 features - 7 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
5 runs0 likes0 downloads0 reach7 impact
10000 instances - 7201 features - 10 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
6 runs0 likes1 downloads1 reach7 impact
58310 instances - 181 features - 10 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
6 runs0 likes1 downloads1 reach7 impact
83733 instances - 55 features - 4 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
4 runs0 likes0 downloads0 reach7 impact
65196 instances - 28 features - 100 classes - 0 missing values
This is the dataset used for the 2016 IDA Industrial Challenge, courtesy of Scania. For a full description, see http://archive.ics.uci.edu/ml/datasets/IDA2016Challenge . This dataset contains both the…
7 runs0 likes0 downloads0 reach7 impact
76000 instances - 171 features - 2 classes - 1078695 missing values
This is a 10% stratified subsample of the data from the 1999 ACM KDD Cup (http://www.sigkdd.org/kddcup/index.php). Modified by TunedIT (converted to ARFF format)…
25 runs1 likes35 downloads36 reach7 impact
494020 instances - 42 features - 23 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 reach7 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 reach7 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…
621 runs0 likes8 downloads8 reach7 impact
1000 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…
796 runs0 likes8 downloads8 reach7 impact
8192 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…
800 runs0 likes9 downloads9 reach7 impact
209 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…
620 runs0 likes10 downloads10 reach7 impact
1000 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…
784 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…
737 runs0 likes5 downloads5 reach7 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…
631 runs0 likes7 downloads7 reach7 impact
1000 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…
812 runs0 likes7 downloads7 reach7 impact
250 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…
802 runs0 likes8 downloads8 reach7 impact
662 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…
806 runs0 likes8 downloads8 reach7 impact
500 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…
791 runs0 likes6 downloads6 reach7 impact
250 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…
636 runs0 likes8 downloads8 reach7 impact
1000 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…
745 runs0 likes9 downloads9 reach7 impact
240 instances - 125 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…
700 runs0 likes4 downloads4 reach7 impact
294 instances - 14 features - 2 classes - 782 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…
963 runs0 likes11 downloads11 reach7 impact
380 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…
720 runs0 likes6 downloads6 reach7 impact
159 instances - 10 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…
734 runs0 likes9 downloads9 reach7 impact
506 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…
672 runs0 likes4 downloads4 reach7 impact
158 instances - 8 features - 2 classes - 87 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…
748 runs0 likes6 downloads6 reach7 impact
500 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…
608 runs1 likes9 downloads10 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…
773 runs0 likes6 downloads6 reach7 impact
250 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…
813 runs0 likes7 downloads7 reach7 impact
500 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…
101 runs0 likes5 downloads5 reach7 impact
1161 instances - 17 features - 2 classes - 256 missing values