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…
104 runs0 likes0 downloads0 reach0 impact
379 instances - 8 features - 2 classes - 1368 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…
746 runs0 likes0 downloads0 reach0 impact
72 instances - 4 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 runs0 likes0 downloads0 reach0 impact
990 instances - 14 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…
736 runs0 likes0 downloads0 reach0 impact
452 instances - 280 features - 2 classes - 408 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…
781 runs0 likes0 downloads0 reach0 impact
5473 instances - 11 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…
728 runs0 likes0 downloads0 reach0 impact
2000 instances - 241 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…
754 runs0 likes0 downloads0 reach0 impact
8844 instances - 57 features - 2 classes - 34843 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…
676 runs0 likes0 downloads0 reach0 impact
10992 instances - 17 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…
794 runs0 likes9 downloads9 reach15 impact
2000 instances - 65 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
722 runs0 likes0 downloads0 reach0 impact
683 instances - 36 features - 2 classes - 2337 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…
0 runs0 likes0 downloads0 reach0 impact
2796 instances - 35 features - 2 classes - 68100 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…
757 runs0 likes0 downloads0 reach0 impact
400 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
732 runs0 likes0 downloads0 reach0 impact
63 instances - 32 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
723 runs0 likes0 downloads0 reach0 impact
366 instances - 35 features - 2 classes - 8 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…
815 runs0 likes0 downloads0 reach0 impact
336 instances - 8 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
140 runs0 likes0 downloads0 reach0 impact
194 instances - 29 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…
1149 runs0 likes0 downloads0 reach0 impact
138 instances - 3 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…
774 runs0 likes0 downloads0 reach0 impact
797 instances - 5 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…
169 runs0 likes0 downloads0 reach0 impact
600 instances - 61 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…
772 runs0 likes0 downloads0 reach0 impact
214 instances - 10 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…
842 runs0 likes0 downloads0 reach0 impact
155 instances - 9 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 likes0 downloads0 reach0 impact
410 instances - 10936 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…
2834 runs0 likes0 downloads0 reach0 impact
1545 instances - 10936 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…
79 runs0 likes0 downloads0 reach0 impact
322 instances - 10936 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 likes0 downloads0 reach0 impact
267 instances - 10936 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 likes0 downloads0 reach0 impact
484 instances - 10936 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 likes0 downloads0 reach0 impact
187 instances - 10936 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…
2860 runs0 likes0 downloads0 reach0 impact
604 instances - 10936 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 likes0 downloads0 reach0 impact
259 instances - 10936 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 likes0 downloads0 reach0 impact
386 instances - 10936 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 likes0 downloads0 reach0 impact
185 instances - 10936 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 likes0 downloads0 reach0 impact
195 instances - 10936 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 likes0 downloads0 reach0 impact
275 instances - 10936 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…
2862 runs0 likes0 downloads0 reach0 impact
1545 instances - 10936 features - 2 classes - 0 missing values
No data.
697 runs0 likes0 downloads0 reach0 impact
320 instances - 9 features - 2 classes - 0 missing values
We consider the following problem: You are running a cloud computing service, where customers contract to run computing services (tasks). Each task has a duration, an earliest start and latest end,…
0 runs0 likes0 downloads0 reach0 impact
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 likes0 downloads0 reach0 impact
321 instances - 10936 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…
2855 runs0 likes0 downloads0 reach0 impact
542 instances - 10936 features - 2 classes - 0 missing values
No data.
50 runs0 likes0 downloads0 reach0 impact
1000000 instances - 18 features - 22 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: 10501, and it has 147 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
147 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: 12788, and it has 50 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
50 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: 100427, and it has 77 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
77 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: 11299, and it has 68 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
68 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: 11085, and it has 712 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
712 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: 12186, and it has 22 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
22 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: 101045, and it has 79 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
79 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: 12718, and it has 134 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
134 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: 12029, and it has 28 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
28 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: 101503, and it has 79 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
79 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: 101598, and it has 399 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
399 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: 17021, and it has 276 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
276 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: 252, and it has 4081 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
4081 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: 20036, and it has 23 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
23 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: 104385, and it has 24 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
24 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: 11058, and it has 41 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
41 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: 101585, and it has 58 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
58 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: 11084, and it has 842 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
842 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: 10502, and it has 1627 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
1627 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: 100155, and it has 138 rows and 1026 features…
1 runs0 likes0 downloads0 reach0 impact
138 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: 12132, and it has 44 rows and 1026 features (including…
1 runs0 likes0 downloads0 reach0 impact
44 instances - 1026 features - 0 classes - 0 missing values
No data.
10 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
7 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
6 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
9 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
10 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
9 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
305 runs0 likes0 downloads0 reach0 impact
1000000 instances - 4 features - 2 classes - 0 missing values
No data.
253 runs0 likes0 downloads0 reach0 impact
1076790 instances - 30 features - 2 classes - 7275 missing values
Normalized form of codrna (351) 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…
309 runs0 likes0 downloads0 reach0 impact
488565 instances - 9 features - 2 classes - 0 missing values
No data.
28 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
28 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
29 runs0 likes0 downloads0 reach0 impact
1000000 instances - 37 features - 2 classes - 0 missing values
No data.
7 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
30 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
29 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
28 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
28 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
28 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
7 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
6 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
Normalized version of vehicle dataset (http://www.openml.org/d/54) NAME vehicle silhouettes PURPOSE to classify a given silhouette as one of four types of vehicle, using a set of features extracted…
372 runs0 likes0 downloads0 reach0 impact
98528 instances - 101 features - 2 classes - 0 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…
3 runs0 likes0 downloads0 reach0 impact
442 instances - 24 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
1000000 instances - 41 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
1000000 instances - 91 features - 0 classes - 0 missing values
No data.
44 runs0 likes0 downloads0 reach0 impact
1000000 instances - 13 features - 11 classes - 0 missing values
No data.
29 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
29 runs0 likes0 downloads0 reach0 impact
1000000 instances - 39 features - 6 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository. Preprocessing: The original Adult data set has 14 features, among which six are continuous and eight are categorical. In this data set,…
0 runs0 likes0 downloads0 reach0 impact
32561 instances - 124 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository. Preprocessing: The original Adult data set has 14 features, among which six are continuous and eight are categorical. In this data set,…
0 runs0 likes0 downloads0 reach0 impact
48842 instances - 124 features - 0 classes - 0 missing values
libSVM","AAD group Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Cell Biology, 96:6745-6750, 1999. #Dataset from…
0 runs0 likes0 downloads0 reach0 impact
62 instances - 2001 features - 0 classes - 0 missing values
libSVM","AAD group A practical guide to support vector classification. Technical report, Department of Computer Science, National Taiwan University, 2003. #Dataset from the LIBSVM data repository…
0 runs0 likes0 downloads0 reach0 impact
7089 instances - 5 features - 0 classes - 0 missing values
libSVM","AAD group A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics, 19(17):2246-2253, 2003. #Dataset from the LIBSVM data repository.…
0 runs0 likes0 downloads0 reach0 impact
86 instances - 7130 features - 0 classes - 0 missing values
Building projectable classifiers of arbitrary complexity. In Proceedings of the 13th International Conference on Pattern Recognition, pages 880-885, Vienna, Austria, August 1996. #Dataset from the…
0 runs0 likes0 downloads0 reach0 impact
862 instances - 3 features - 0 classes - 0 missing values
No data.
28 runs0 likes0 downloads0 reach0 impact
1000000 instances - 19 features - 4 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach16 impact
1000 instances - 25 features - 0 classes - 0 missing values
Kung chi
1 runs0 likes0 downloads0 reach0 impact
123 instances - 40 features - 2 classes - 0 missing values
Mega watt
183 runs0 likes0 downloads0 reach0 impact
253 instances - 38 features - 2 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository. Preprocessing: The original Adult data set has 14 features, among which six are continuous and eight are categorical. In this data set,…
0 runs0 likes0 downloads0 reach0 impact
32561 instances - 124 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository. Preprocessing: The original Adult data set has 14 features, among which six are continuous and eight are categorical. In this data set,…
0 runs0 likes0 downloads0 reach0 impact
32561 instances - 124 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository. Preprocessing: The original Adult data set has 14 features, among which six are continuous and eight are categorical. In this data set,…
0 runs0 likes0 downloads0 reach0 impact
32561 instances - 124 features - 0 classes - 0 missing values