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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
The origin is not clear, but presumably this is an artificial problem representing M-of-N rules. The target is 1 if a certain M 'bits' are '1'? (Joaquin Vanschoren)
31 runs0 likes0 downloads0 reach22 impact
1324 instances - 11 features - 2 classes - 0 missing values
### Description ### This dataset is part of a collection datasets based on the game "Jungle Chess" (a.k.a. Dou Shou Qi). For a description of the rules, please refer to the paper (link attached). The…
11 runs0 likes0 downloads0 reach14 impact
4704 instances - 47 features - 3 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
allrep-pmlb
31 runs0 likes1 downloads1 reach21 impact
3772 instances - 30 features - 4 classes - 0 missing values
dis-pmlb
31 runs0 likes1 downloads1 reach22 impact
3772 instances - 30 features - 2 classes - 0 missing values
car-evaluation-pmlb
31 runs0 likes2 downloads2 reach21 impact
1728 instances - 22 features - 4 classes - 0 missing values
allbp-pmlb
31 runs0 likes2 downloads2 reach21 impact
3772 instances - 30 features - 3 classes - 0 missing values
led24-pmlb
31 runs0 likes2 downloads2 reach22 impact
3200 instances - 25 features - 10 classes - 0 missing values
flare-pmlb
32 runs0 likes2 downloads2 reach22 impact
1066 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…
701 runs0 likes3 downloads3 reach15 impact
736 instances - 20 features - 2 classes - 448 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…
680 runs0 likes5 downloads5 reach15 impact
1945 instances - 19 features - 2 classes - 1133 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…
686 runs0 likes5 downloads5 reach15 impact
782 instances - 9 features - 2 classes - 466 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…
101 runs0 likes5 downloads5 reach15 impact
1161 instances - 16 features - 2 classes - 256 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…
707 runs0 likes5 downloads5 reach14 impact
52 instances - 25 features - 2 classes - 7 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…
708 runs0 likes5 downloads5 reach15 impact
365 instances - 4 features - 2 classes - 30 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 likes5 downloads5 reach14 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…
732 runs0 likes5 downloads5 reach14 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…
727 runs0 likes5 downloads5 reach15 impact
205 instances - 26 features - 2 classes - 59 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…
721 runs0 likes5 downloads5 reach15 impact
226 instances - 70 features - 2 classes - 317 missing values
General Description of Thyroid Disease Databases and Related Files This directory contains 6 databases, corresponding test set, and corresponding documentation. They were left at the University of…
92 runs0 likes6 downloads6 reach14 impact
2800 instances - 27 features - 5 classes - 0 missing values
Abstract: A chess endgame data set representing the positions on the board of the white king, the white rook, and the black king. The task is to determine the optimum number of turn required for white…
25 runs0 likes6 downloads6 reach14 impact
28056 instances - 7 features - 18 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…
691 runs0 likes6 downloads6 reach15 impact
528 instances - 22 features - 2 classes - 504 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 likes6 downloads6 reach15 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…
722 runs0 likes6 downloads6 reach15 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…
131 runs0 likes6 downloads6 reach15 impact
1340 instances - 17 features - 2 classes - 20 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…
622 runs0 likes6 downloads6 reach17 impact
10108 instances - 69 features - 2 classes - 2699 missing values
* Dataset Title: AutoUniv Dataset data problem: autoUniv-au4-2500 * Abstract: AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of…
4222 runs0 likes7 downloads7 reach27 impact
2500 instances - 101 features - 3 classes - 0 missing values
* Dataset Title: AutoUniv Dataset data problem: autoUniv-au7-700 * Abstract: AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of…
4537 runs0 likes7 downloads7 reach27 impact
700 instances - 13 features - 3 classes - 0 missing values
* Title: Nursery Database * Abstract: 4-class version of the original Nursery dataset
121 runs0 likes7 downloads7 reach14 impact
12958 instances - 9 features - 4 classes - 0 missing values
####1. Summary This dataset contain attributes of dresses and their recommendations according to their sales. Sales are monitor on the basis of alternate days. The attributes present analyzed are:…
19055 runs1 likes6 downloads7 reach18 impact
500 instances - 13 features - 2 classes - 835 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…
104 runs0 likes7 downloads7 reach15 impact
1302 instances - 34 features - 2 classes - 7830 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…
752 runs0 likes7 downloads7 reach15 impact
339 instances - 18 features - 2 classes - 225 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 likes7 downloads7 reach15 impact
1473 instances - 10 features - 2 classes - 0 missing values
Datasets from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch) Dataset from: http://www.agnostic.inf.ethz.ch/datasets.php Modified by TunedIT (converted to ARFF…
778 runs0 likes8 downloads8 reach16 impact
4562 instances - 15 features - 2 classes - 88 missing values
Yeast dataset Past Usage: André Elisseeff and Jason Weston. A kernel method for multi-labelled classification. In Thomas G. Dietterich, Susan Becker, and Zoubin Ghahramani, editors, Advances in…
139 runs0 likes8 downloads8 reach14 impact
2417 instances - 117 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…
712 runs0 likes8 downloads8 reach15 impact
898 instances - 39 features - 2 classes - 22175 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 likes8 downloads8 reach14 impact
148 instances - 19 features - 2 classes - 0 missing values
* Dataset Title: AutoUniv Dataset data problem: autoUniv-au6-250-drift-au6-cd1-500 * Abstract: AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and…
11011 runs0 likes9 downloads9 reach47 impact
750 instances - 41 features - 8 classes - 0 missing values
### Description Cylinder bands UCI dataset - Process delays known as cylinder banding in rotogravure printing were substantially mitigated using control rules discovered by decision tree induction.…
21478 runs0 likes9 downloads9 reach26 impact
540 instances - 40 features - 2 classes - 999 missing values
This dataset was retrieved 2014-11-14 from the UCI site and converted to the ARFF format. __Major changes w.r.t. version 3: dataset from UCI that matches description and data types__ ### Feature…
4202 runs0 likes9 downloads9 reach14 impact
690 instances - 15 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 likes9 downloads9 reach15 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…
135 runs0 likes9 downloads9 reach15 impact
3190 instances - 61 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…
726 runs0 likes10 downloads10 reach15 impact
576 instances - 12 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…
737 runs0 likes10 downloads10 reach15 impact
3772 instances - 30 features - 2 classes - 6064 missing values
A dataset relating characteristics of telephony account features and usage and whether or not the customer churned. Originally used in [Discovering Knowledge in Data: An Introduction to Data…
7512 runs2 likes9 downloads11 reach25 impact
5000 instances - 21 features - 2 classes - 0 missing values
This database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX (M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp.…
7180 runs0 likes11 downloads11 reach24 impact
1728 instances - 7 features - 4 classes - 0 missing values
UCI Thyroid allbp dataset.
97 runs1 likes10 downloads11 reach14 impact
2800 instances - 27 features - 5 classes - 0 missing values
Database of baseball players and play statistics, including 'Games_played', 'At_bats', 'Runs', 'Hits', 'Doubles', 'Triples', 'Home_runs', 'RBIs', 'Walks', 'Strikeouts', 'Batting_average',…
795 runs0 likes11 downloads11 reach10 impact
1340 instances - 17 features - 3 classes - 20 missing values
* Dataset Title: AutoUniv Dataset data problem: autoUniv-au7-300-drift-au7-cpd1-800 * Abstract: AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and…
7130 runs0 likes12 downloads12 reach35 impact
1100 instances - 13 features - 5 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…
143 runs1 likes11 downloads12 reach15 impact
531 instances - 102 features - 2 classes - 0 missing values
Jarkko Salojarvi, Kai Puolamaki, Jaana Simola, Lauri Kovanen, Ilpo Kojo, Samuel Kaski. Inferring Relevance from Eye Movements: Feature Extraction. Helsinki University of Technology, Publications in…
440 runs0 likes12 downloads12 reach15 impact
10936 instances - 28 features - 3 classes - 0 missing values
1. Title: Hepatitis Domain 2. Sources: (a) unknown (b) Donor: G.Gong (Carnegie-Mellon University) via Bojan Cestnik Jozef Stefan Institute Jamova 39 61000 Ljubljana Yugoslavia (tel.: (38)(+61) 214-399…
2134 runs1 likes12 downloads13 reach9 impact
155 instances - 20 features - 2 classes - 167 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…
1899 runs0 likes13 downloads13 reach15 impact
1156 instances - 6 features - 2 classes - 0 missing values
1. Data set title: Nomao Data Set 2. Abstract: Nomao collects data about places (name, phone, localization...) from many sources. Deduplication consists in detecting what data refer to the same place.…
67399 runs0 likes16 downloads16 reach28 impact
34465 instances - 119 features - 2 classes - 0 missing values
Classify a chess game based on the position of the white king, the white rook and the black king.
1777 runs0 likes16 downloads16 reach9 impact
28056 instances - 7 features - 18 classes - 0 missing values
Data on educational transitions for a sample of 500 Irish schoolchildren aged 11 in 1967. The data were collected by Greaney and Kelleghan (1984), and reanalyzed by Raftery and Hout (1985, 1993). ###…
16022 runs0 likes16 downloads16 reach25 impact
500 instances - 6 features - 2 classes - 32 missing values
Once upon a time, in July 1991, the monks of Corsendonk Priory were faced with a school held in their priory, namely the 2nd European Summer School on Machine Learning. After listening more than one…
108666 runs1 likes15 downloads16 reach35 impact
554 instances - 7 features - 2 classes - 0 missing values
Data on tree growth used in the Case Study published in the September, 1995 issue of the Canadian Journal of Statistics. This data set was been provided by Dr. Fernando Camacho, Ontario Hydro…
18457 runs1 likes16 downloads17 reach39 impact
2796 instances - 35 features - 6 classes - 68100 missing values
* Dataset: Reduced version (10 % of the examples) of bank-marketing dataset.
1254 runs1 likes17 downloads18 reach15 impact
4521 instances - 17 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
PRO FOOTBALL SCORES (raw data appears after the description below) How well do the oddsmakers of Las Vegas predict the outcome of professional football games? Is there really a home field advantage -…
15930 runs0 likes21 downloads21 reach25 impact
672 instances - 10 features - 2 classes - 1200 missing values
Once upon a time, in July 1991, the monks of Corsendonk Priory were faced with a school held in their priory, namely the 2nd European Summer School on Machine Learning. After listening more than one…
358450 runs2 likes22 downloads24 reach41 impact
556 instances - 7 features - 2 classes - 0 missing values
This data set contains 416 liver patient records and 167 non liver patient records.The data set was collected from north east of Andhra Pradesh, India. The class label divides the patients into 2…
154860 runs2 likes24 downloads26 reach26 impact
583 instances - 11 features - 2 classes - 0 missing values
Source: Rami Mustafa A Mohammad ( University of Huddersfield, rami.mohammad '@' hud.ac.uk, rami.mustafa.a '@' gmail.com) Lee McCluskey (University of Huddersfield,t.l.mccluskey '@' hud.ac.uk ) Fadi…
51520 runs1 likes27 downloads28 reach27 impact
11055 instances - 31 features - 2 classes - 0 missing values
Attribute information: ``` sick, negative. | classes age: continuous. sex: M, F. on thyroxine: f, t. query on thyroxine: f, t. on antithyroid medication: f, t. sick: f, t. pregnant: f, t. thyroid…
19941 runs0 likes32 downloads32 reach9 impact
3772 instances - 30 features - 2 classes - 6064 missing values
Prediction task is to determine whether a person makes over 50K a year. Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the…
14259 runs4 likes31 downloads35 reach38 impact
48842 instances - 15 features - 2 classes - 6465 missing values
This file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect the confidentiality of the data. This dataset is interesting because…
25077 runs1 likes35 downloads36 reach12 impact
690 instances - 16 features - 2 classes - 67 missing values
Once upon a time, in July 1991, the monks of Corsendonk Priory were faced with a school held in their priory, namely the 2nd European Summer School on Machine Learning. After listening more than one…
394294 runs3 likes33 downloads36 reach38 impact
601 instances - 7 features - 2 classes - 0 missing values
### Description This dataset describes mushrooms in terms of their physical characteristics. They are classified into: poisonous or edible. ### Source ``` (a) Origin: Mushroom records are drawn from…
16392 runs1 likes42 downloads43 reach13 impact
8124 instances - 23 features - 2 classes - 2480 missing values
Author: Alen Shapiro Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Chess+(King-Rook+vs.+King-Pawn)) Please cite: [UCI citation policy](https://archive.ics.uci.edu/ml/citation_policy.html) 1.…
273625 runs1 likes43 downloads44 reach16 impact
3196 instances - 37 features - 2 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 data was gathered from participants in experimental speed dating events from 2002-2004. During the events, the attendees would have a four-minute "first date" with every other participant of the…
28060 runs19 likes168 downloads187 reach35 impact
8378 instances - 121 features - 2 classes - 18372 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