Source: http://www.ijcaonline.org/archives/volume47/number18/7291-0509 Data Set Information: In this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer…
373 runs0 likes0 downloads0 reach0 impact
100 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…
808 runs0 likes0 downloads0 reach0 impact
100 instances - 26 features - 2 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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…
1111 runs0 likes0 downloads0 reach0 impact
100 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…
766 runs0 likes0 downloads0 reach0 impact
100 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…
734 runs0 likes0 downloads0 reach0 impact
100 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…
1119 runs0 likes0 downloads0 reach0 impact
100 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…
970 runs0 likes0 downloads0 reach0 impact
100 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…
776 runs0 likes0 downloads0 reach0 impact
100 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…
810 runs0 likes0 downloads0 reach0 impact
100 instances - 51 features - 2 classes - 0 missing values
Source: David Gil, dgil '@' dtic.ua.es, Lucentia Research Group, Department of Computer Technology, University of Alicante Jose Luis Girela, girela '@' ua.es, Department of Biotechnology, University…
451 runs0 likes0 downloads0 reach0 impact
100 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: 20128, and it has 100 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
100 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: 11287, and it has 100 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
100 instances - 1026 features - 0 classes - 0 missing values
Subset of KITS dataset with 100 images
0 runs0 likes0 downloads0 reach0 impact
100 instances - 27649 features - 0 classes - 0 missing values
Subset of KITS dataset with 100 images
0 runs0 likes0 downloads0 reach0 impact
100 instances - 27649 features - 2 classes - 0 missing values
Subset of KITS dataset with 100 images
0 runs0 likes0 downloads0 reach0 impact
100 instances - 27649 features - 0 classes - 0 missing values
Subset of KITS dataset with 100 images and nominal target
5 runs0 likes0 downloads0 reach0 impact
100 instances - 27649 features - 2 classes - 0 missing values
TEST STUDENTS DATA
0 runs0 likes0 downloads0 reach0 impact
100 instances - 11 features - 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 instances - 26 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…
1136 runs0 likes0 downloads0 reach0 impact
100 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…
572 runs0 likes0 downloads0 reach0 impact
100 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…
1202 runs0 likes0 downloads0 reach0 impact
100 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…
788 runs0 likes0 downloads0 reach0 impact
100 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…
985 runs0 likes0 downloads0 reach0 impact
100 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…
792 runs0 likes0 downloads0 reach0 impact
100 instances - 26 features - 2 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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…
21 runs0 likes0 downloads0 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 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 reach0 impact
100 instances - 101 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…
988 runs0 likes0 downloads0 reach0 impact
100 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…
1024 runs0 likes0 downloads0 reach0 impact
100 instances - 11 features - 2 classes - 0 missing values
Subsampling of the dataset arcene (41157) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
100 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset arcene (41157) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
100 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset arcene (41157) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
100 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset arcene (41157) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
100 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset arcene (41157) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
100 instances - 101 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 reach17 impact
100 instances - 10001 features - 2 classes - 0 missing values
For detecting fraudulent transactions
0 runs0 likes0 downloads0 reach0 impact
100 instances - 8 features - classes - 0 missing values
test rats
0 runs0 likes0 downloads0 reach0 impact
100 instances - 3 features - 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…
176 runs0 likes0 downloads0 reach0 impact
101 instances - 17 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: 100127, and it has 101 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
101 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: 20122, and it has 101 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
101 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: 101152, and it has 101 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
101 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: 20137, and it has 101 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
101 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: 10967, and it has 101 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
101 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: 20105, and it has 101 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
101 instances - 1026 features - 0 classes - 0 missing values
test
0 runs0 likes0 downloads0 reach0 impact
101 instances - 18 features - classes - 0 missing values
A simple database containing 17 Boolean-valued attributes describing animals. The "type" attribute appears to be the class attribute. Notes: * I find it unusual that there are 2 instances of "frog"…
191 runs4 likes22 downloads26 reach9 impact
101 instances - 17 features - 7 classes - 0 missing values
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable,…
789 runs0 likes9 downloads9 reach14 impact
101 instances - 30 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: 12469, and it has 102 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
102 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: 30009, and it has 102 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
102 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: 100949, and it has 102 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
102 instances - 1026 features - 0 classes - 0 missing values
Dataset showing Data from matches played RB Leipzig prior to 14.06.2020
0 runs0 likes0 downloads0 reach0 impact
102 instances - 1 features - classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
102 instances - 12601 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: 10814, and it has 103 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
103 instances - 1026 features - 0 classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Concrete Slump dataset (Yeh 2007) concerns the prediction of three properties of concrete…
0 runs0 likes0 downloads0 reach0 impact
103 instances - 10 features - classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Concrete Slump dataset (Yeh 2007) concerns the prediction of three properties of concrete…
0 runs0 likes0 downloads0 reach0 impact
103 instances - 10 features - classes - 0 missing values
A multiclass classification problem to predict the best AutoML tool to solve a given SL task.
0 runs0 likes0 downloads0 reach0 impact
103 instances - 108 features - 8 classes - 3766 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: 101030, and it has 103 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
103 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: 11199, and it has 104 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
104 instances - 1026 features - 0 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,…
34 runs0 likes0 downloads0 reach0 impact
105 instances - 12 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 likes0 downloads0 reach0 impact
105 instances - 12 features - 6 classes - 61 missing values
Data from the RSCTC 2010 Discovery Challenge. Example datasets for 6 different problems of DNA microarray data analysis and classification. All datasets contain gene expression data characterized by…
9 runs0 likes0 downloads0 reach0 impact
105 instances - 22284 features - 3 classes - 0 missing values
Data from the RSCTC 2010 Discovery Challenge. Example datasets for 6 different problems of DNA microarray data analysis and classification. All datasets contain gene expression data characterized by…
9 runs0 likes0 downloads0 reach0 impact
105 instances - 22284 features - 3 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…
173 runs0 likes0 downloads0 reach0 impact
106 instances - 58 features - 2 classes - 0 missing values
A copy of the data set proposed in: S. M. Weiss, and C. A. Kulikowski, Computer Systems That Learn (1991).
30 runs0 likes0 downloads0 reach0 impact
106 instances - 8 features - 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 likes0 downloads0 reach0 impact
106 instances - 10 features - 6 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: 30038, and it has 106 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
106 instances - 1026 features - 0 classes - 0 missing values
A 4-class version of breast-tissue dataset.
299 runs0 likes0 downloads0 reach0 impact
106 instances - 10 features - 4 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: 101332, and it has 106 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
106 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: 102667, and it has 106 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
106 instances - 1026 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
106 instances - 15 features - classes - 0 missing values
appendicities from edsa - local computer
0 runs0 likes0 downloads0 reach0 impact
106 instances - 8 features - 0 classes - 0 missing values
Compilation of promoters with known transcriptional start points for E. coli genes. The task is to recognize promoters in strings that represent nucleotides (one of A, G, T, or C). A promoter is a…
138 runs0 likes0 downloads0 reach0 impact
106 instances - 58 features - 2 classes - 0 missing values
appendicities from edsa - local computer
0 runs0 likes0 downloads0 reach0 impact
106 instances - 8 features - 0 classes - 0 missing values
appendicities from edsa yang lain -- local computer
0 runs0 likes0 downloads0 reach0 impact
106 instances - 8 features - 0 classes - 0 missing values
appendicities from edsa yang lain lain -- local computer
0 runs0 likes0 downloads0 reach0 impact
106 instances - 8 features - 2 classes - 0 missing values
appendicities from edsa yang lain lain -- local computer
0 runs0 likes0 downloads0 reach0 impact
106 instances - 8 features - 2 classes - 0 missing values
No data.
794 runs0 likes0 downloads0 reach0 impact
107 instances - 30 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 likes0 downloads0 reach0 impact
107 instances - 12 features - 2 classes - 71 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: 30032, and it has 107 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
107 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: 10958, and it has 107 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
107 instances - 1026 features - 0 classes - 0 missing values
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. Further details concerning the book, including information on statistical…
2 runs0 likes0 downloads0 reach0 impact
108 instances - 4 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…
455 runs0 likes0 downloads0 reach0 impact
108 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…
1078 runs0 likes0 downloads0 reach0 impact
108 instances - 8 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: 20139, and it has 108 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
108 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: 10971, and it has 108 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
108 instances - 1026 features - 0 classes - 0 missing values