!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Cholesterol treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using…
175 runs0 likes0 downloads0 reach0 impact
303 instances - 14 features - 0 classes - 6 missing values
Data from StatLib (ftp stat.cmu.edu/datasets) Data from which conclusions were drawn in the article "Sleep in Mammals: Ecological and Constitutional Correlates" by Allison, T. and Cicchetti, D.…
0 runs0 likes0 downloads0 reach0 impact
62 instances - 8 features - 0 classes - 12 missing values
The problem is to learn a regression equation/rule/tree to predict the activity from the descriptive structural attributes. The data and methodology is described in detail in: - King, Ross .D., Hurst,…
5 runs0 likes0 downloads0 reach0 impact
186 instances - 61 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! NAME: Sexual activity and the lifespan of male fruitflies TYPE: Designed (almost factorial)…
4 runs0 likes0 downloads0 reach0 impact
125 instances - 5 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. X treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric…
10 runs0 likes0 downloads0 reach0 impact
418 instances - 19 features - 0 classes - 1239 missing values
This is a commercial application described in Weiss & Indurkhya (1995). The data describes a telecommunication problem. No further information is available. Characteristics: (10000+5000) cases, 49…
5 runs0 likes0 downloads0 reach0 impact
15000 instances - 49 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…
2 runs0 likes0 downloads0 reach0 impact
398 instances - 8 features - 0 classes - 6 missing values
The Computer Activity databases are a collection of computer systems activity measures. The data was collected from a Sun Sparcstation 20/712 with 128 Mbytes of memory running in a multi-user…
2 runs0 likes0 downloads0 reach0 impact
8192 instances - 22 features - 0 classes - 0 missing values
This data set is also obtained from the task of controlling the ailerons of a F16 aircraft, although the target variable and attributes are different from the ailerons domain. The target variable here…
7 runs0 likes0 downloads0 reach0 impact
9517 instances - 7 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Horsepower treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using…
0 runs0 likes0 downloads0 reach0 impact
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identification code deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…
4 runs0 likes0 downloads0 reach0 impact
189 instances - 10 features - 0 classes - 0 missing values
Donor: David W. Aha (aha@ics.uci.edu) This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one…
48 runs0 likes0 downloads0 reach0 impact
303 instances - 14 features - 0 classes - 6 missing values
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics; (b) its assigned insurance risk rating,; (c) its normalized losses in use as…
11 runs0 likes0 downloads0 reach0 impact
159 instances - 16 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! All nominal attributes and instances with missing values are deleted. Price treated as the class attribute. As used by…
2 runs0 likes0 downloads0 reach0 impact
159 instances - 16 features - 0 classes - 0 missing values
Data from StatLib (ftp stat.cmu.edu/datasets) This is the data set called `DETROIT' in the book `Subset selection in regression' by Alan J. Miller published in the Chapman & Hall series of monographs…
2 runs0 likes0 downloads0 reach0 impact
13 instances - 14 features - 0 classes - 0 missing values
Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag.
2 runs0 likes0 downloads0 reach0 impact
2178 instances - 4 features - 0 classes - 0 missing values
Data from StatLib (ftp stat.cmu.edu/datasets) These data are those collected in a cloud-seeding experiment in Tasmania between mid-1964 and January 1971. Their analysis, using regression techniques…
66 runs0 likes0 downloads0 reach0 impact
108 instances - 6 features - 0 classes - 0 missing values
Data from StatLib (ftp stat.cmu.edu/datasets) The infamous Longley data, "An appraisal of least-squares programs from the point of view of the user", JASA, 62(1967) p819-841. Variables are: Number of…
3 runs0 likes0 downloads0 reach0 impact
16 instances - 7 features - 0 classes - 0 missing values
This data set concerns the study of the factors affecting patterns of insulin-dependent diabetes mellitus in children. The objective is to investigate the dependence of the level of serum C-peptide on…
2 runs0 likes0 downloads0 reach0 impact
43 instances - 3 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning…
10 runs0 likes0 downloads0 reach0 impact
195 instances - 11 features - 0 classes - 2 missing values
Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. Points scored per minute is being treated as…
2 runs0 likes0 downloads0 reach0 impact
96 instances - 5 features - 0 classes - 0 missing values
This is an artificial data set described in Breiman et al. (1984,p.238) (with variance 1 instead of 2). Generate the values of the 10 attributes independently using the following probabilities: P(X_1…
2 runs0 likes0 downloads0 reach0 impact
40768 instances - 11 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
13 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
34 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
22 instances - 629 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
22 instances - 40 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
19 instances - 10 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
274 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
13 instances - 22 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
9 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
10 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
13 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
80 instances - 113 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
5 runs0 likes0 downloads0 reach0 impact
32 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
31 instances - 54 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
8 runs0 likes0 downloads0 reach0 impact
8885 instances - 267 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
10 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
16 instances - 24 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
195 instances - 33 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
13 instances - 1143 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
20 instances - 10 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
0 runs0 likes0 downloads0 reach0 impact
16 instances - 34 features - 0 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…
748 runs0 likes0 downloads0 reach0 impact
148 instances - 19 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
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…
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