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No data.
416 runs1 likes14 downloads15 reach63 impact
1050 instances - 3239 features - 10 classes - 0 missing values
This file contains the Economic data information of USA from 01/04/1980 to 02/04/2000 on a weekly basis. From given features, the goal is to predict 1 Month CD Rate. 1. 1Y-CMaturityRate real [77.055,…
0 runs0 likes0 downloads0 reach9 impact
1049 instances - 16 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: 101464, and it has 1044 rows and 1026 features…
1 runs0 likes1 downloads1 reach11 impact
1044 instances - 1026 features - 0 classes - 0 missing values
Pizza cutter 3
188 runs0 likes7 downloads7 reach14 impact
1043 instances - 38 features - 2 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 reach11 impact
1039 instances - 29 features - 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…
3 runs1 likes3 downloads4 reach13 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 reach12 impact
1030 instances - 1026 features - 0 classes - 0 missing values
Of all the universities in the world, which are the best? Ranking universities is a difficult, political, and controversial practice. There are hundreds of different national and international…
0 runs0 likes0 downloads0 reach9 impact
1029 instances - 14 features - classes - 200 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 reach11 impact
1027 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 reach11 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 runs1 likes12 downloads13 reach15 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 reach15 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: 12476, and it has 1023 rows and 1026 features…
1 runs0 likes1 downloads1 reach11 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: 10051, and it has 1007 rows and 1026 features…
1 runs0 likes1 downloads1 reach11 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: 10906, and it has 1004 rows and 1026 features…
1 runs0 likes1 downloads1 reach11 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: 11635, and it has 1003 rows and 1026 features…
1 runs0 likes1 downloads1 reach11 impact
1003 instances - 1026 features - 0 classes - 0 missing values
No data.
428 runs0 likes13 downloads13 reach63 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: 11942, and it has 1002 rows and 1026 features…
1 runs0 likes1 downloads1 reach11 impact
1002 instances - 1026 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach16 impact
1000 instances - 25 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…
5 runs0 likes1 downloads1 reach14 impact
1000 instances - 5 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach17 impact
1000 instances - 25 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 27649 features - 2 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes1 downloads1 reach13 impact
1000 instances - 51 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…
2048 runs0 likes1 downloads1 reach12 impact
1000 instances - 24 features - 30 classes - 0 missing values
test
0 runs0 likes0 downloads0 reach6 impact
1000 instances - 21 features - classes - 0 missing values
test
0 runs0 likes0 downloads0 reach6 impact
1000 instances - 21 features - classes - 0 missing values
test
0 runs0 likes0 downloads0 reach6 impact
1000 instances - 21 features - classes - 0 missing values
test
0 runs0 likes1 downloads1 reach3 impact
1000 instances - 21 features - classes - 0 missing values
test
0 runs0 likes1 downloads1 reach6 impact
1000 instances - 21 features - classes - 0 missing values
test
0 runs0 likes1 downloads1 reach6 impact
1000 instances - 21 features - classes - 0 missing values
test
0 runs0 likes0 downloads0 reach6 impact
1000 instances - 21 features - classes - 0 missing values
test
0 runs0 likes1 downloads1 reach6 impact
1000 instances - 21 features - classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes2 downloads2 reach14 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 reach14 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 reach13 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 reach13 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 reach13 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 reach13 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 reach13 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 reach13 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 reach13 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 reach13 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 reach14 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 reach13 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 reach13 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 reach13 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 reach13 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 reach13 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 reach13 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 reach14 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 reach14 impact
1000 instances - 11 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 reach47 impact
1000 instances - 41 features - 8 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 runs1 likes9 downloads10 reach23 impact
1000 instances - 21 features - 2 classes - 0 missing values
This is a dataset about the actors and actresses that have voice characters in Disney movies
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 8 features - 2 classes - 0 missing values
This is a dataset about the academic performance of students in different subjects
0 runs0 likes1 downloads1 reach0 impact
1000 instances - 8 features - 2 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 runs2 likes3 downloads5 reach14 impact
1000 instances - 5 features - 0 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 runs1 likes1 downloads2 reach14 impact
1000 instances - 11 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…
615 runs0 likes9 downloads9 reach15 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…
621 runs0 likes8 downloads8 reach15 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…
608 runs1 likes9 downloads10 reach15 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…
604 runs0 likes9 downloads9 reach15 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 reach15 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 reach15 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…
653 runs0 likes10 downloads10 reach15 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…
624 runs0 likes8 downloads8 reach15 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…
614 runs0 likes9 downloads9 reach15 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 likes11 downloads11 reach15 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…
646 runs0 likes9 downloads9 reach15 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 reach15 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…
643 runs0 likes9 downloads9 reach15 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…
575 runs0 likes9 downloads9 reach15 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…
594 runs0 likes8 downloads8 reach15 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 reach15 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…
600 runs0 likes12 downloads12 reach15 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 reach15 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…
620 runs0 likes10 downloads10 reach15 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 reach15 impact
1000 instances - 6 features - 2 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…
505964 runs28 likes290 downloads318 reach32 impact
1000 instances - 21 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: 100413, and it has 998 rows and 1026 features…
1 runs0 likes1 downloads1 reach11 impact
998 instances - 1026 features - 0 classes - 0 missing values
This data set was originally a univariate time record of a single observed quantity, recorded from a Far-Infrared-Laser in a chaotic state. The original set 1000 points has been adapted for regression…
0 runs0 likes0 downloads0 reach9 impact
993 instances - 5 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: 10304, and it has 992 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
992 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 likes11 downloads12 reach15 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…
26451 runs1 likes18 downloads19 reach43 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: 30014, and it has 987 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
987 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 reach11 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: 10014, and it has 979 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 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: 115, and it has 974 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
974 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 reach22 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: 11110, and it has 969 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 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: 11364, and it has 969 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 impact
969 instances - 1026 features - 0 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…
37 runs0 likes1 downloads1 reach22 impact
959 instances - 45 features - 2 classes - 0 missing values
Test
0 runs0 likes1 downloads1 reach8 impact
958 instances - 10 features - classes - 0 missing values
Uploead test
0 runs0 likes0 downloads0 reach8 impact
958 instances - 10 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: 19639, and it has 958 rows and 1026 features (including…
1 runs0 likes1 downloads1 reach11 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…
386331 runs2 likes93 downloads95 reach10 impact
958 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 reach11 impact
955 instances - 1026 features - 0 classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach0 impact
950 instances - 10 features - 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 likes16 downloads16 reach15 impact
950 instances - 10 features - 2 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 runs2 likes9 downloads11 reach10 impact
950 instances - 10 features - 0 classes - 0 missing values
Author: Francesca Grisoni, Claudia S. Neuhaus, Miyabi Hishinuma, Gisela Gabernet, Jan A. Hiss, - Masaaki Kotera, Gisbert Schneider Source:…
0 runs0 likes1 downloads1 reach0 impact
949 instances - 3 features - classes - 0 missing values