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The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 11 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 51 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes2 downloads2 reach13 impact
250 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 101 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 26 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 26 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 11 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 51 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 11 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 51 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 51 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 26 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 11 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 51 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach13 impact
250 instances - 6 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…
812 runs0 likes7 downloads7 reach15 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…
791 runs0 likes6 downloads6 reach15 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…
764 runs0 likes7 downloads7 reach15 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…
822 runs0 likes7 downloads7 reach15 impact
250 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
746 runs0 likes6 downloads6 reach15 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…
853 runs0 likes7 downloads7 reach15 impact
250 instances - 6 features - 2 classes - 0 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…
1105 runs0 likes7 downloads7 reach15 impact
250 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…
748 runs0 likes6 downloads6 reach15 impact
250 instances - 51 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
854 runs0 likes7 downloads7 reach15 impact
250 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
755 runs0 likes6 downloads6 reach15 impact
250 instances - 51 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
773 runs0 likes8 downloads8 reach15 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…
773 runs0 likes6 downloads6 reach15 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…
759 runs0 likes6 downloads6 reach15 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…
782 runs0 likes6 downloads6 reach15 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…
763 runs0 likes8 downloads8 reach15 impact
250 instances - 101 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…
775 runs0 likes6 downloads6 reach15 impact
250 instances - 51 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
786 runs0 likes6 downloads6 reach15 impact
250 instances - 51 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
817 runs0 likes7 downloads7 reach15 impact
250 instances - 51 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
847 runs0 likes7 downloads7 reach15 impact
250 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
806 runs0 likes6 downloads6 reach15 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…
791 runs0 likes6 downloads6 reach15 impact
250 instances - 11 features - 2 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10616, and it has 249 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
249 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10081, and it has 248 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
248 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10623, and it has 248 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
248 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10613, and it has 247 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
247 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10614, and it has 246 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
246 instances - 1026 features - 0 classes - 0 missing values
Data set shows information about participants of math conference. isPresent is target column for classification task.
0 runs0 likes0 downloads0 reach9 impact
246 instances - 7 features - 2 classes - 0 missing values
analysis of stocks
0 runs0 likes0 downloads0 reach8 impact
245 instances - 15 features - classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 30013, and it has 244 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
244 instances - 1026 features - 0 classes - 0 missing values
This is the Tecator data set: The task is to predict the fat content of a meat sample on the basis of its near infrared absorbance spectrum. 1. Statement of permission from Tecator (the original data…
0 runs0 likes4 downloads4 reach14 impact
240 instances - 125 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 20112, and it has 240 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
240 instances - 1026 features - 0 classes - 0 missing values
Binarized version of the cnae-9 dataset (see version 1). Only instances with class labels 1 and 2 from the original dataset are considered.
0 runs0 likes0 downloads0 reach10 impact
240 instances - 857 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 reach15 impact
240 instances - 125 features - 2 classes - 0 missing values
This file is a text file giving details about the time series analysed in 'The Analysis of Time Series' by Chris Chatfield. The 5th edn was published in 1996 and the 6th edn in 2003. The series are…
0 runs0 likes0 downloads0 reach13 impact
235 instances - 13 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 12861, and it has 235 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
235 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10651, and it has 235 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
235 instances - 1026 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…
810 runs0 likes8 downloads8 reach15 impact
235 instances - 13 features - 2 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10494, and it has 233 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
233 instances - 1026 features - 0 classes - 0 missing values
Conventional and Social Media Movies (CSM) - Dataset 2014 and 2015 Data Set 12 features categorized as conventional and social media features. Both conventional features, collected from movies…
0 runs0 likes0 downloads0 reach7 impact
232 instances - 14 features - classes - 60 missing values
Conventional and Social Media Movies (CSM) - Dataset 2014 and 2015 Data Set 12 features categorized as conventional and social media features. Both conventional features, collected from movies…
0 runs0 likes0 downloads0 reach8 impact
231 instances - 13 features - classes - 46 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 11574, and it has 230 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
230 instances - 1026 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…
0 runs0 likes1 downloads1 reach11 impact
228 instances - 8 features - classes - 20 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 likes3 downloads3 reach15 impact
228 instances - 9 features - 2 classes - 20 missing values
Michel Lang fRMA-normalized. Only "Kratz-genes"*. \* (see: A practical molecular assay to predict survival in resected non-squamous, non-small-cell lung cancer: development and international…
0 runs0 likes8 downloads8 reach13 impact
226 instances - 24 features - 2 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 12703, and it has 226 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
226 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10617, and it has 226 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
226 instances - 1026 features - 0 classes - 0 missing values
This database is a standardized version of the original audiology database (see audiology.* in this directory). The non-standard set of attributes have been converted to a standard set of attributes…
7303 runs0 likes13 downloads13 reach12 impact
226 instances - 70 features - 24 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…
721 runs0 likes5 downloads5 reach15 impact
226 instances - 70 features - 2 classes - 317 missing values
Branin test
0 runs0 likes0 downloads0 reach8 impact
225 instances - 3 features - classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10012, and it has 224 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
224 instances - 1026 features - 0 classes - 0 missing values
#modelage
87 runs0 likes0 downloads0 reach8 impact
224 instances - 20 features - 6 classes - 205 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 184, and it has 224 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
224 instances - 1026 features - 0 classes - 0 missing values
File README ----------- chscase A collection of the data sets used in the book "A Casebook for a First Course in Statistics and Data Analysis," by Samprit Chatterjee, Mark S. Handcock and Jeffrey S.…
0 runs0 likes0 downloads0 reach13 impact
222 instances - 3 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…
1164 runs0 likes7 downloads7 reach15 impact
222 instances - 3 features - 2 classes - 0 missing values
punch sound
0 runs0 likes1 downloads1 reach8 impact
221 instances - 1 features - 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.…
11 runs1 likes3 downloads4 reach14 impact
220 instances - 22284 features - 3 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10685, and it has 220 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
220 instances - 1026 features - 0 classes - 0 missing values
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime…
0 runs0 likes0 downloads0 reach8 impact
218 instances - 144 features - 5 classes - 0 missing values
source: http://plato.asu.edu/ftp/solvable.html authors: Rolf-David Bergdoll PAR10 performances of modern solvers on the solvable instances of MIPLIB2010. http://miplib.zib.de/ The algorithm runtime…
0 runs0 likes0 downloads0 reach8 impact
218 instances - 148 features - 5 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 12847, and it has 215 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
215 instances - 1026 features - 0 classes - 0 missing values
new-thyroid-pmlb
31 runs0 likes2 downloads2 reach21 impact
215 instances - 6 features - 3 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.…
11 runs0 likes3 downloads3 reach14 impact
214 instances - 45102 features - 7 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
214 instances - 15 features - classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
214 instances - 15 features - classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 11004, and it has 214 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
214 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10450, and it has 214 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
214 instances - 1026 features - 0 classes - 0 missing values
1. Title: Glass Identification Database 2. Sources: (a) Creator: B. German -- Central Research Establishment Home Office Forensic Science Service Aldermaston, Reading, Berkshire RG7 4PN (b) Donor:…
1776 runs1 likes51 downloads52 reach9 impact
214 instances - 10 features - 6 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…
772 runs0 likes8 downloads8 reach14 impact
214 instances - 10 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…
640 runs0 likes6 downloads6 reach14 impact
214 instances - 10 features - 6 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…
792 runs0 likes10 downloads10 reach15 impact
214 instances - 10 features - 2 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 11758, and it has 213 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
213 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 12688, and it has 213 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
213 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 102927, and it has 212 rows and 1026 features…
1 runs0 likes1 downloads1 reach11 impact
212 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10120, and it has 212 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
212 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10062, and it has 211 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
211 instances - 1026 features - 0 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 reach13 impact
210 instances - 8 features - 3 classes - 0 missing values
* Title: seismic-bumps Data Set * Abstract: The data describe the problem of high energy (higher than 10^4 J) seismic bumps forecasting in a coal mine. Data come from two of longwalls located in a…
152 runs0 likes37 downloads37 reach13 impact
210 instances - 8 features - 3 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach17 impact
209 instances - 8 features - 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 reach19 impact
209 instances - 8 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10057, and it has 209 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
209 instances - 1026 features - 0 classes - 0 missing values
The problem concerns Relative CPU Performance Data. More information can be obtained in the UCI Machine Learning repository (http://www.ics.uci.edu/~mlearn/MLSummary.html). The used attributes are :…
2 runs0 likes2 downloads2 reach12 impact
209 instances - 7 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…
800 runs0 likes10 downloads10 reach15 impact
209 instances - 8 features - 2 classes - 0 missing values
February 23, 1982 The 1982 annual meetings of the American Statistical Association (ASA) will be held August 16-19, 1982 in Cincinnati. At that meeting, the ASA Committee on Statistical Graphics plans…
759 runs0 likes9 downloads9 reach24 impact
209 instances - 9 features - 2 classes - 15 missing values