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2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
2849 runs0 likes5 downloads5 reach16 impact
1545 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
2865 runs1 likes18 downloads19 reach16 impact
1545 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
2853 runs1 likes7 downloads8 reach16 impact
1545 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
2834 runs0 likes4 downloads4 reach16 impact
1545 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
2855 runs0 likes8 downloads8 reach16 impact
542 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
203 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 likes4 downloads4 reach7 impact
138 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
185 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 likes4 downloads4 reach8 impact
421 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
410 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 likes4 downloads4 reach8 impact
470 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
412 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
201 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 likes3 downloads3 reach8 impact
322 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
72 runs1 likes7 downloads8 reach9 impact
1545 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
2862 runs0 likes8 downloads8 reach17 impact
1545 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 likes4 downloads4 reach8 impact
468 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
484 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
2866 runs0 likes8 downloads8 reach17 impact
546 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality…
2860 runs0 likes7 downloads7 reach17 impact
604 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 likes5 downloads5 reach8 impact
259 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
2841 runs0 likes4 downloads4 reach17 impact
630 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
413 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
347 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
355 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
363 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
146 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 likes4 downloads4 reach8 impact
195 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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
130 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 likes5 downloads5 reach8 impact
267 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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…
59 runs0 likes7 downloads7 reach9 impact
1545 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
193 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 10:38:14
Joaquin Vanschoren updated data:
ID_REF is an identifier, set to ignore
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 reach8 impact
329 instances - 10937 features - 2 classes - 0 missing values
2015-04-16 00:12:37
Joaquin Vanschoren updated data:
fixed arff file (bad instances removed)
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.…
14 runs0 likes0 downloads0 reach5 impact
526 instances - 6 features - 0 classes - 0 missing values
2015-04-16 00:04:25
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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.…
1 runs0 likes2 downloads2 reach6 impact
383 instances - 54676 features - 9 classes - 0 missing values
2015-04-15 23:59:06
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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.…
9 runs0 likes2 downloads2 reach6 impact
283 instances - 54622 features - 3 classes - 0 missing values
2015-04-15 23:56:52
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 likes1 downloads1 reach6 impact
283 instances - 54622 features - 3 classes - 0 missing values
2015-04-15 23:55:12
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 likes6 downloads6 reach8 impact
159 instances - 61360 features - 2 classes - 0 missing values
2015-04-15 23:49:43
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 reach7 impact
220 instances - 22284 features - 3 classes - 0 missing values
2015-04-15 23:48:14
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 likes3 downloads3 reach6 impact
92 instances - 59005 features - 5 classes - 0 missing values
2015-04-15 23:46:28
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 reach6 impact
214 instances - 45102 features - 7 classes - 0 missing values
2015-04-15 23:39:16
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 reach6 impact
89 instances - 54614 features - 4 classes - 0 missing values
2015-04-15 23:38:49
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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…
8 runs0 likes2 downloads2 reach6 impact
113 instances - 54676 features - 5 classes - 0 missing values
2015-04-15 23:33:11
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 runs1 likes2 downloads3 reach7 impact
95 instances - 22278 features - 5 classes - 0 missing values
2015-04-15 23:31:46
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 runs1 likes1 downloads2 reach7 impact
105 instances - 22284 features - 3 classes - 0 missing values
2015-04-15 23:31:30
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiter in attribute description)
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 likes1 downloads1 reach6 impact
105 instances - 22284 features - 3 classes - 0 missing values
2015-04-15 23:18:02
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 likes1 downloads1 reach5 impact
250 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:17:25
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:17:01
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 6 features - 0 classes - 0 missing values
2015-04-15 23:16:38
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:16:11
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:15:41
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:15:10
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 101 features - 0 classes - 0 missing values
2015-04-15 23:14:46
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:14:20
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:13:52
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 likes1 downloads1 reach5 impact
500 instances - 6 features - 0 classes - 0 missing values
2015-04-15 23:13:16
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:12:50
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:12:22
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:11:41
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:11:16
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:10:53
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:10:27
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:10:03
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:09:11
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:08:41
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:08:09
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:06:52
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:06:19
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:05:32
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:04:57
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:04:28
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:03:45
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:03:17
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 6 features - 0 classes - 0 missing values
2015-04-15 23:02:46
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 51 features - 0 classes - 0 missing values
2015-04-15 23:02:16
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 26 features - 0 classes - 0 missing values
2015-04-15 23:01:46
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 likes1 downloads1 reach5 impact
1000 instances - 6 features - 0 classes - 0 missing values
2015-04-15 23:00:56
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 11 features - 0 classes - 0 missing values
2015-04-15 23:00:32
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 51 features - 0 classes - 0 missing values
2015-04-15 22:59:59
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 26 features - 0 classes - 0 missing values
2015-04-15 22:59:18
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 6 features - 0 classes - 0 missing values
2015-04-15 22:58:28
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 likes1 downloads1 reach5 impact
1000 instances - 11 features - 0 classes - 0 missing values
2015-04-15 22:57:40
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 likes1 downloads1 reach5 impact
1000 instances - 51 features - 0 classes - 0 missing values
2015-04-15 22:57:02
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
100 instances - 11 features - 0 classes - 0 missing values
2015-04-15 22:56:02
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 likes1 downloads1 reach5 impact
1000 instances - 26 features - 0 classes - 0 missing values
2015-04-15 22:55:10
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 51 features - 0 classes - 0 missing values
2015-04-15 22:54:37
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 likes1 downloads1 reach5 impact
1000 instances - 51 features - 0 classes - 0 missing values
2015-04-15 22:54:07
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 likes1 downloads1 reach5 impact
500 instances - 6 features - 0 classes - 0 missing values
2015-04-15 22:53:25
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
500 instances - 51 features - 0 classes - 0 missing values
2015-04-15 22:52:58
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 11 features - 0 classes - 0 missing values
2015-04-15 22:52:29
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 26 features - 0 classes - 0 missing values
2015-04-15 22:52:03
Joaquin Vanschoren updated data:
fixed arff file (whitespace delimiters)
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 reach5 impact
250 instances - 6 features - 0 classes - 0 missing values