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This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10184, and it has 941 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
941 instances - 1026 features - 0 classes - 0 missing values
#study_1
0 runs0 likes0 downloads0 reach2 impact
944 instances - 17 features - classes - 0 missing values
eating
9413 runs0 likes16 downloads16 reach44 impact
945 instances - 6374 features - 7 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: 100912, and it has 948 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
948 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: 100947, and it has 949 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
949 instances - 1026 features - 0 classes - 0 missing values
This is a dataset obtained from the StatLib repository. Here is the included description: The data provided are daily stock prices from January 1988 through October 1991, for ten aerospace companies.…
5 runs1 likes5 downloads6 reach1 impact
950 instances - 10 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…
773 runs0 likes14 downloads14 reach8 impact
950 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: 10880, and it has 955 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
955 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: 19639, and it has 958 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
958 instances - 1026 features - 0 classes - 0 missing values
This database encodes the complete set of possible board configurations at the end of tic-tac-toe games, where "x" is assumed to have played first. The target concept is "win for x" (i.e., true when…
385593 runs1 likes65 downloads66 reach2 impact
958 instances - 10 features - 2 classes - 0 missing values
)), [PMLB](https://github.com/EpistasisLab/penn-ml-benchmarks/tree/master/datasets/classification/tokyo1) This is Performance co-pilot (PCP) data for the Tokyo server at Silicon Graphics International…
35 runs0 likes1 downloads1 reach12 impact
959 instances - 45 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: 11364, and it has 969 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
969 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: 11110, and it has 969 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
969 instances - 1026 features - 0 classes - 0 missing values
Dataset used by Buntine and Niblett (1992). Composed of 10 features, one of which is irrelevant. The target is a disjunctive normal form formula over the nine other attributes, with additional…
31 runs0 likes0 downloads0 reach12 impact
973 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: 115, and it has 974 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
974 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: 10014, and it has 979 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
979 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: 11752, and it has 985 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
985 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: 30014, and it has 987 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
987 instances - 1026 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…
131 runs1 likes9 downloads10 reach7 impact
990 instances - 14 features - 2 classes - 0 missing values
Speaker independent recognition of the eleven steady state vowels of British English using a specified training set of lpc derived log area ratios. Collected by David Deterding (data and…
25934 runs0 likes14 downloads14 reach36 impact
990 instances - 13 features - 11 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: 10304, and it has 992 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach3 impact
992 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: 100413, and it has 998 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
998 instances - 1026 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 likes1 downloads1 reach5 impact
1000 instances - 51 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes2 downloads2 reach5 impact
1000 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 likes2 downloads2 reach5 impact
1000 instances - 101 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 instances - 51 features - 0 classes - 0 missing values
1. Title: Lecturers Evaluation (Ordinal LEV) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel…
0 runs1 likes2 downloads3 reach5 impact
1000 instances - 5 features - 0 classes - 0 missing values
1. Title: Employee Rejection\Acceptance (Orinal ERA) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel…
0 runs0 likes1 downloads1 reach5 impact
1000 instances - 5 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 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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…
1 runs0 likes2 downloads2 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 instances - 26 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach5 impact
1000 instances - 25 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes2 downloads2 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 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 likes1 downloads1 reach5 impact
1000 instances - 6 features - 0 classes - 0 missing values
Data used in an analysis of the Brown and Frown corpora for my doctoral dissertation titled ``Variations in Written English: Characterizing Authors' Rhetorical Language Choices Across Corpora of…
2046 runs0 likes0 downloads0 reach4 impact
1000 instances - 24 features - 30 classes - 0 missing values
* Dataset Title: AutoUniv Dataset data problem: autoUniv-au1-1000 * Abstract: AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of…
3255 runs0 likes8 downloads8 reach15 impact
1000 instances - 21 features - 2 classes - 0 missing values
1. Title: Social Workers Decisions (Ordinal SWD) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel…
0 runs0 likes1 downloads1 reach6 impact
1000 instances - 11 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach6 impact
1000 instances - 25 features - 0 classes - 0 missing values
* Dataset Title: AutoUniv Dataset data problem: autoUniv-au6-1000 * Abstract: AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of…
11010 runs0 likes16 downloads16 reach40 impact
1000 instances - 41 features - 8 classes - 0 missing values
This dataset classifies people described by a set of attributes as good or bad credit risks. This dataset comes with a cost matrix: ``` Good Bad (predicted) Good 0 1 (actual) Bad 5 0 ``` It is worse…
505316 runs16 likes194 downloads210 reach12 impact
1000 instances - 21 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…
600 runs0 likes12 downloads12 reach8 impact
1000 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…
608 runs0 likes9 downloads9 reach8 impact
1000 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…
594 runs0 likes8 downloads8 reach8 impact
1000 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…
575 runs0 likes9 downloads9 reach8 impact
1000 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…
615 runs0 likes9 downloads9 reach8 impact
1000 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…
604 runs0 likes9 downloads9 reach8 impact
1000 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…
621 runs0 likes8 downloads8 reach8 impact
1000 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…
631 runs0 likes7 downloads7 reach8 impact
1000 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…
598 runs0 likes8 downloads8 reach8 impact
1000 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…
620 runs0 likes10 downloads10 reach8 impact
1000 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…
614 runs0 likes9 downloads9 reach8 impact
1000 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…
625 runs0 likes10 downloads10 reach8 impact
1000 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…
608 runs1 likes9 downloads10 reach8 impact
1000 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…
636 runs0 likes8 downloads8 reach8 impact
1000 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…
638 runs0 likes9 downloads9 reach8 impact
1000 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…
646 runs0 likes9 downloads9 reach8 impact
1000 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…
617 runs0 likes11 downloads11 reach8 impact
1000 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…
624 runs0 likes8 downloads8 reach8 impact
1000 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…
653 runs0 likes10 downloads10 reach8 impact
1000 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…
643 runs0 likes8 downloads8 reach8 impact
1000 instances - 11 features - 2 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 11942, and it has 1002 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1002 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: 11635, and it has 1003 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1003 instances - 1026 features - 0 classes - 0 missing values
No data.
428 runs0 likes12 downloads12 reach53 impact
1003 instances - 3183 features - 10 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: 10906, and it has 1004 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1004 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: 10051, and it has 1007 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1007 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: 12476, and it has 1023 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1023 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: 20154, and it has 1024 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1024 instances - 1026 features - 0 classes - 0 missing values
Data Sets for 'Regression Models for Time Series Analysis' by B. Kedem and K. Fokianos, Wiley 2002. Submitted by Kostas Fokianos (fokianos@ucy.ac.cy) [8/Nov/02] (176k) Note: - attribute names were…
599 runs0 likes10 downloads10 reach8 impact
1024 instances - 3 features - 4 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
746 runs0 likes13 downloads13 reach8 impact
1024 instances - 3 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: 11720, and it has 1027 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1027 instances - 1026 features - 0 classes - 0 missing values
Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. These ingredients include cement, blast furnace…
0 runs1 likes3 downloads4 reach3 impact
1030 instances - 9 features - classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10475, and it has 1030 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1030 instances - 1026 features - 0 classes - 0 missing values
Source: 1. Olcay KURSUN, PhD., Istanbul University, Department of Computer Engineering, 34320, Istanbul, Turkey Phone: +90 (212) 473 7070 - 17827 Email: okursun '@' istanbul.edu.tr 2. Betul ERDOGDU…
0 runs0 likes3 downloads3 reach3 impact
1039 instances - 29 features - classes - 0 missing values
Pizza cutter 3
188 runs0 likes6 downloads6 reach6 impact
1043 instances - 38 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: 101464, and it has 1044 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1044 instances - 1026 features - 0 classes - 0 missing values
No data.
416 runs1 likes13 downloads14 reach53 impact
1050 instances - 3239 features - 10 classes - 0 missing values
QSAR biodegradation Data Set * Abstract: Data set containing values for 41 attributes (molecular descriptors) used to classify 1055 chemicals into 2 classes (ready and not ready biodegradable). *…
265463 runs1 likes17 downloads18 reach19 impact
1055 instances - 42 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: 30017, and it has 1058 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1058 instances - 1026 features - 0 classes - 0 missing values
Predicting the Geographical Origin of Music, ICDM, 2014 Abstract: Instances in this dataset contain audio features extracted from 1059 wave files. The task associated with the data is to predict the…
0 runs0 likes4 downloads4 reach4 impact
1059 instances - 118 features - 0 classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Water Quality dataset (Dzeroski et al. 2000) has 14 target attributes that refer to the…
0 runs0 likes0 downloads0 reach2 impact
1060 instances - 30 features - classes - 0 missing values
flare-pmlb
32 runs0 likes0 downloads0 reach12 impact
1066 instances - 11 features - 2 classes - 0 missing values
Relevant Information: -- The database contains 3 potential classes, one for the number of times a certain type of solar flare occured in a 24 hour period. -- Each instance represents captured features…
31 runs0 likes0 downloads0 reach11 impact
1066 instances - 13 features - 6 classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Solar Flare dataset (Lichman 2013) has 3 target variables that correspond to the number of…
0 runs0 likes0 downloads0 reach2 impact
1066 instances - 13 features - classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Solar Flare dataset (Lichman 2013) has 3 target variables that correspond to the number of…
0 runs0 likes0 downloads0 reach2 impact
1066 instances - 13 features - classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10696, and it has 1070 rows and 1026 features…
1 runs0 likes1 downloads1 reach3 impact
1070 instances - 1026 features - 0 classes - 0 missing values
pie chart 3
103 runs0 likes6 downloads6 reach5 impact
1077 instances - 38 features - 2 classes - 0 missing values
Expression levels of 77 proteins measured in the cerebral cortex of 8 classes of control and Down syndrome mice exposed to context fear conditioning, a task used to assess associative learning. The…
7062 runs0 likes0 downloads0 reach12 impact
1080 instances - 82 features - 8 classes - 1396 missing values
### Description This is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories. ### Source ``` Patrick Marques…
30349 runs0 likes15 downloads15 reach47 impact
1080 instances - 857 features - 9 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: E2 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
105 runs0 likes2 downloads2 reach7 impact
1080 instances - 4 features - 5 classes - 0 missing values