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A 3-class version of Cardiotocography dataset.
134 runs0 likes14 downloads14 reach14 impact
2126 instances - 36 features - 3 classes - 0 missing values
student performance analysis 1
0 runs0 likes1 downloads1 reach6 impact
3892 instances - 36 features - classes - 0 missing values
mydata
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3892 instances - 36 features - classes - 0 missing values
Datasets from ACM KDD Cup (http://www.sigkdd.org/kddcup/index.php) Data set for KDD Cup 1999 Modified by TunedIT (converted to ARFF format)…
4 runs1 likes21 downloads22 reach15 impact
4898431 instances - 42 features - 23 classes - 0 missing values
This is a 10% stratified subsample of the data from the 1999 ACM KDD Cup (http://www.sigkdd.org/kddcup/index.php). Modified by TunedIT (converted to ARFF format)…
25 runs1 likes35 downloads36 reach15 impact
494020 instances - 42 features - 23 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 likes1 downloads1 reach13 impact
16 instances - 34 features - 0 classes - 0 missing values
The dataset contains the serie a matches for season 2015-2016
0 runs0 likes0 downloads0 reach8 impact
379 instances - 38 features - classes - 44 missing values
This radar data was collected by a system in Goose Bay, Labrador. This system consists of a phased array of 16 high-frequency antennas with a total transmitted power on the order of 6.4 kilowatts. See…
2484 runs3 likes27 downloads30 reach12 impact
351 instances - 35 features - 2 classes - 0 missing values
No data.
0 runs0 likes1 downloads1 reach9 impact
1000000 instances - 33 features - 0 classes - 0 missing values
Abstract: This data set contains a total 5820 evaluation scores provided by students from Gazi University in Ankara (Turkey). There is a total of 28 course specific questions and additional 5…
0 runs0 likes2 downloads2 reach16 impact
5820 instances - 33 features - classes - 0 missing values
No data.
0 runs0 likes1 downloads1 reach9 impact
1000000 instances - 33 features - 0 classes - 0 missing values
1. Title: Wisconsin Prognostic Breast Cancer (WPBC) 2. Source Information a) Creators: Dr. William H. Wolberg, General Surgery Dept., University of Wisconsin, Clinical Sciences Center, Madison, WI…
5 runs0 likes4 downloads4 reach9 impact
194 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 likes2 downloads2 reach13 impact
195 instances - 33 features - 0 classes - 0 missing values
A family of datasets synthetically generated from a simulation of how bank-customers choose their banks. Tasks are based on predicting the fraction of bank customers who leave the bank because of full…
0 runs0 likes2 downloads2 reach14 impact
8192 instances - 33 features - 0 classes - 0 missing values
This is one of a family of datasets synthetically generated from a realistic simulation of the dynamics of a Unimation Puma 560 robot arm. There are eight datastets in this family . In this repository…
0 runs0 likes6 downloads6 reach14 impact
8192 instances - 33 features - 0 classes - 0 missing values
Version with corrected feature types. 'PrivacySuppressed' are converted to None. Regroups information for about 7800 different US colleges. Including geographical information, stats about the…
0 runs0 likes0 downloads0 reach0 impact
7063 instances - 47 features - 0 classes - 104305 missing values
Modified version for the automl benchmark. Regroups information for about 7800 different US colleges. Including geographical information, stats about the population attending and post graduation…
0 runs0 likes0 downloads0 reach0 impact
7063 instances - 45 features - 0 classes - 104249 missing values
Regroups information for about 7800 different US colleges. Including geographical information, stats about the population attending and post graduation career earnings.
0 runs0 likes1 downloads1 reach9 impact
7063 instances - 50 features - 0 classes - 125494 missing values
Coal mining requires working in hazardous conditions. Miners in an underground coal mine can face several threats, such as, e.g. methane explosions or rock-burst. To provide protection for people…
0 runs0 likes0 downloads0 reach2 impact
9199930 instances - 34 features - classes - 0 missing values
A dataset of steel plates' faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition. The dataset consists of 27 features describing each…
277313 runs1 likes49 downloads50 reach25 impact
1941 instances - 34 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…
744 runs0 likes8 downloads8 reach16 impact
7019 instances - 61 features - 2 classes - 43814 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 likes15 downloads16 reach39 impact
2796 instances - 35 features - 6 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…
0 runs0 likes0 downloads0 reach11 impact
2796 instances - 35 features - 2 classes - 68100 missing values
--------------------------------------------------------------------------- Short description --------------------------------------------------------------------------- Data on tree growth used in…
0 runs0 likes2 downloads2 reach11 impact
2796 instances - 35 features - 6 classes - 68100 missing values
INTRUSION DETECTOR LEARNING Software to detect network intrusions protects a computer network from unauthorized users, including perhaps insiders. The intrusion detector learning task is to build a…
0 runs1 likes0 downloads1 reach1 impact
4898431 instances - 42 features - 23 classes - 0 missing values
Klaverjas is an example of the Jack-Nine card games, which are characterized as trick-taking games where the the Jack and nine of the trump suit are the highest-ranking trumps, and the tens and aces…
0 runs0 likes1 downloads1 reach10 impact
981541 instances - 33 features - 2 classes - 0 missing values
#sbox
0 runs0 likes0 downloads0 reach7 impact
10000 instances - 32 features - classes - 0 missing values
The dataset contains the premier league matches for the season 2014-2015.
0 runs0 likes2 downloads2 reach8 impact
380 instances - 38 features - classes - 9 missing values
Asteroid Dataset
0 runs0 likes1 downloads1 reach11 impact
126131 instances - 34 features - 2 classes - 99 missing values
Creators: Renata Cristina Barros Madeo (Madeo, R. C. B.) Priscilla Koch Wagner (Wagner, P. K.) Sarajane Marques Peres (Peres, S. M.) {renata.si, priscilla.wagner, sarajane} at usp.br…
26327 runs1 likes16 downloads17 reach38 impact
9873 instances - 33 features - 5 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…
762 runs0 likes13 downloads13 reach15 impact
8192 instances - 33 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…
772 runs0 likes8 downloads8 reach15 impact
194 instances - 33 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…
744 runs0 likes12 downloads12 reach15 impact
8192 instances - 33 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…
104 runs0 likes7 downloads7 reach15 impact
1302 instances - 34 features - 2 classes - 7830 missing values
Phishing website 1
0 runs0 likes0 downloads0 reach2 impact
11055 instances - 31 features - 0 classes - 0 missing values
Asteroid Dataset
0 runs0 likes1 downloads1 reach10 impact
126131 instances - 34 features - 2 classes - 99 missing values
# Achieved Frames per Second (FPS) in video games This dataset contains FPS measurement of video games executed on computers. Each row of the dataset describes the outcome of FPS measurement (outcome…
0 runs0 likes0 downloads0 reach1 impact
425833 instances - 45 features - 0 classes - 1299988 missing values
Context It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Content The…
0 runs1 likes8 downloads9 reach8 impact
284807 instances - 31 features - 0 classes - 0 missing values
ARFF Training Data
0 runs0 likes0 downloads0 reach0 impact
177640 instances - 40 features - classes - 0 missing values
Current dataset was adapted to ARFF format from the UCI version. Sample code ID's were removed. ! Note that there is also a related Breast Cancer Wisconsin (Original) Data Set with a different set of…
226562 runs4 likes37 downloads41 reach27 impact
569 instances - 31 features - 2 classes - 0 missing values
Om algos te testen
74 runs0 likes6 downloads6 reach15 impact
14240 instances - 31 features - 2 classes - 0 missing values
The sick dataset from the OpenCC18 with all categorical data label encoded so all data is numeric
0 runs0 likes0 downloads0 reach8 impact
3772 instances - 30 features - classes - 0 missing values
The YouTube personality dataset consists of a collection of behavorial features, speech transcriptions, and personality impression scores for a set of 404 YouTube vloggers that explicitly show…
0 runs0 likes1 downloads1 reach9 impact
404 instances - 31 features - 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 reach9 impact
1060 instances - 30 features - classes - 0 missing values
The YouTube personality dataset consists of a collection of behavorial features, speech transcriptions, and personality impression scores for a set of 404 YouTube vloggers that explicitly show…
0 runs0 likes0 downloads0 reach9 impact
404 instances - 31 features - classes - 0 missing values
Embedding of atoms for HIV inhibitors dataser
0 runs0 likes0 downloads0 reach7 impact
1069964 instances - 30 features - classes - 0 missing values
Embedding of molecules bonds in HIV inhibitors dataset
0 runs0 likes0 downloads0 reach7 impact
1151940 instances - 30 features - classes - 0 missing values
Context It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Content The…
0 runs1 likes2 downloads3 reach9 impact
284807 instances - 31 features - 2 classes - 0 missing values
The datasets contains transactions made by credit cards in September 2013 by european cardholders. This dataset present transactions that occurred in two days, where we have 492 frauds out of 284,807…
355 runs1 likes57 downloads58 reach20 impact
284807 instances - 31 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
Sick dataset from the opencc18 with all textual binary variables label encoded.
1 runs0 likes2 downloads2 reach9 impact
3772 instances - 30 features - 2 classes - 0 missing values
Data Set Information: The data has been produced using Monte Carlo simulations. The first 21 features (columns 2-22) are kinematic properties measured by the particle detectors in the accelerator. The…
0 runs1 likes5 downloads6 reach16 impact
98050 instances - 29 features - 0 classes - 9 missing values
No data.
726 runs0 likes9 downloads9 reach14 impact
36 instances - 30 features - 2 classes - 0 missing values
No data.
794 runs1 likes13 downloads14 reach14 impact
107 instances - 30 features - 2 classes - 0 missing values
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable,…
756 runs0 likes8 downloads8 reach14 impact
121 instances - 30 features - 2 classes - 0 missing values
No data.
718 runs0 likes5 downloads5 reach14 impact
63 instances - 30 features - 2 classes - 0 missing values
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable,…
789 runs0 likes9 downloads9 reach14 impact
101 instances - 30 features - 2 classes - 0 missing values
### Attribute Information * The first column is the class label (1 for signal, 0 for background) * 21 low-level features (kinematic properties): lepton pT, lepton eta, lepton phi, missing energy…
14236 runs1 likes9 downloads10 reach29 impact
98050 instances - 29 features - 2 classes - 9 missing values
The task consists of Learning Quantitative Structure Activity Relationships (QSARs). The Inhibition of Dihydrofolate Reductase by Pyrimidines.The data are described in: King, Ross .D., Muggleton,…
6 runs0 likes2 downloads2 reach9 impact
74 instances - 28 features - 0 classes - 0 missing values
This is a smaller version of the original dataset, containing 1M rows. ### Attribute Information * The first column is the class label (1 for signal, 0 for background) * 21 low-level features…
0 runs0 likes0 downloads0 reach1 impact
1000000 instances - 29 features - 2 classes - 0 missing values
Source: 1. Muhammad Naeem, Centre of Research in Data Engineering(CORDE) & Department of Computer Science, MAJU Islamabad Pakistan(naeems.naeem '@' gmail.com). 2. Sohail Asghar, Director/Associate…
0 runs0 likes1 downloads1 reach11 impact
65554 instances - 29 features - classes - 0 missing values
Testing dataset
0 runs0 likes1 downloads1 reach3 impact
134731 instances - 31 features - 2 classes - 0 missing values
__Changes w.r.t. version 1: included one target factor with 7 levels as target variable for the classification. Also deleted the previous 7 binary target variables.__ A dataset of steel plates'…
9007 runs1 likes3 downloads4 reach15 impact
1941 instances - 28 features - 7 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
10 runs0 likes2 downloads2 reach19 impact
65196 instances - 28 features - 100 classes - 0 missing values
Public procurement data for the European Economic Area, Switzerland, and the Macedonia. 2015
0 runs0 likes1 downloads1 reach8 impact
565163 instances - 75 features - 0 classes - 15247061 missing values
White Clover Persistence Trials Data source: Ian Tarbotton AgResearch, Whatawhata Research Centre, Hamilton, New Zealand The objective was to determine the mechanisms which influence the persistence…
858 runs0 likes5 downloads5 reach15 impact
63 instances - 32 features - 4 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 likes5 downloads5 reach14 impact
63 instances - 32 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…
734 runs0 likes6 downloads6 reach14 impact
74 instances - 28 features - 2 classes - 0 missing values
Training dataset of the 'Porto Seguros Safe Driver Prediction' Kaggle challenge [https://www.kaggle.com/c/porto-seguro-safe-driver-prediction]. The goal was to predict whether a driver will file an…
0 runs0 likes0 downloads0 reach1 impact
595212 instances - 58 features - 2 classes - 846458 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
250 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
100 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
250 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
100 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
500 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
500 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…
1 runs0 likes1 downloads1 reach14 impact
500 instances - 26 features - 0 classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : This is a pre-processed version of the dataset used in Kaggles See Click Predict Fix competition…
0 runs0 likes0 downloads0 reach9 impact
1137 instances - 26 features - classes - 9255 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
0 runs0 likes1 downloads1 reach17 impact
425240 instances - 79 features - 2 classes - 2734000 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : This is a pre-processed version of the dataset used in Kaggles See Click Predict Fix competition…
0 runs0 likes0 downloads0 reach9 impact
1137 instances - 26 features - classes - 9255 missing values
This dataset is an artificial simulation of the Duffing system with random changes from the chaotic to the non-chaotic regime at different noise levels.
0 runs0 likes0 downloads0 reach8 impact
2493200 instances - 26 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 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 - 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
250 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
250 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
500 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 - 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
100 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…
21 runs0 likes0 downloads0 reach14 impact
100 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
500 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
250 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 - 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
100 instances - 26 features - 0 classes - 0 missing values
Sanitized and anonymized Cargo 2000 (C2K) airfreight tracking and tracing events, covering five months of business execution (3,942 process instances, 7,932 transport legs, 56,082 activities). ###…
0 runs0 likes0 downloads0 reach0 impact
3943 instances - 98 features - classes - 210284 missing values
No data.
0 runs0 likes0 downloads0 reach16 impact
1000 instances - 25 features - 0 classes - 0 missing values
This is a sesnor data for test it is not complete.
0 runs0 likes4 downloads4 reach11 impact
127591 instances - 27 features - classes - 0 missing values
No data.
0 runs0 likes0 downloads0 reach17 impact
1000 instances - 25 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…
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…
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…
770 runs0 likes8 downloads8 reach14 impact
100 instances - 26 features - 2 classes - 0 missing values