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This data is derived from the 2012 KDD Cup. The data is subsampled to 0.1% of the original number of instances, downsampling the majority class (click=0) so that the target feature is reasonably…
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39948 instances - 10 features - 2 classes - 0 missing values
Airlines Departure Delay Prediction (Regression). Original data can be found at: http://www.transtats.bts.gov This is a processed version of the original data, designed to predict departure delay (in…
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1000000 instances - 10 features - 0 classes - 0 missing values
Content This Dataset Contains informations about Netflix movies, and how the Netflix website and use it to give me recommendations about movies of the genre that I prefer. Here, I used Netflix's API…
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3323 instances - 10 features - classes - 0 missing values
Context This dataset include all games for PlayStation 4 for the present. I used the truetrophies website to create this dataset. Content You can find 1 datasets : games_data.csv: contend up to date…
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1584 instances - 10 features - classes - 0 missing values
Context These are simulated data based on employee turnover data in a real technology company in India (we refer to this company by a pseudonym, 'TECHCO'). These data can be used to analyze drivers of…
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34452 instances - 10 features - 2 classes - 0 missing values
Context Howdy folks! I have prepared a starter dataset for time series practice. This is my 1st upload. Any questions/feedback are welcome. Content The data was prepared using Alpha Vantage API The…
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1000 instances - 10 features - classes - 0 missing values
1. Title: Contraceptive Method Choice 2. Sources: (a) Origin: This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey (b) Creator: Tjen-Sien Lim (limtstat.wisc.edu) (c)…
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1472 instances - 10 features - classes - 0 missing values
Data on the geographic distribution of COVID-19 cases worldwide. The dataset includes the reported number of diagnosed cases and deaths each day in every country in the world. The main fields include…
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9513 instances - 10 features - classes - 357 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
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581835 instances - 10 features - 0 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original…
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581835 instances - 10 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
threeOf9-pmlb
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512 instances - 10 features - 2 classes - 0 missing values
No data.
68 runs0 likes0 downloads0 reach0 impact
1000000 instances - 10 features - 2 classes - 0 missing values
Context This is a Glass Identification Data Set from UCI. It contains 10 attributes including id. The response is glass type(discrete 7 values) Content Attribute Information: Id number: 1 to 214…
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214 instances - 10 features - classes - 0 missing values
No data.
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137781 instances - 10 features - 7 classes - 0 missing values
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
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5100000 instances - 10 features - 0 classes - 34 missing values
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
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5100000 instances - 10 features - 0 classes - 0 missing values
No data.
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39366 instances - 10 features - 2 classes - 0 missing values
This is a data set of Physicochemical Properties of Protein Tertiary Structure. The data set is taken from CASP 5-9. There are 45730 decoys and size varying from 0 to 21 armstrong. The goal of the…
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45730 instances - 10 features - 0 classes - 0 missing values
No data.
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55296 instances - 10 features - 3 classes - 0 missing values
No data.
75 runs0 likes0 downloads0 reach0 impact
137781 instances - 10 features - 7 classes - 0 missing values
No data.
965 runs0 likes0 downloads0 reach0 impact
55296 instances - 10 features - 3 classes - 0 missing values
No data.
867 runs0 likes0 downloads0 reach0 impact
39366 instances - 10 features - 2 classes - 0 missing values
This classic dataset originally contained the prices and other attributes of almost 54,000 diamonds. However, 14184 of those seem to be the same diamonds, measure from a different angle. This can be…
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53940 instances - 10 features - 0 classes - 0 missing values
This dataset contains 10962 houses to rent in Brazil in 2020 with 13 diferent features. The data was obtained as a result of web scraping and this is why there could be some values in the dataset that…
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10692 instances - 10 features - 0 classes - 0 missing values
1. Title: Contraceptive Method Choice 2. Sources: (a) Origin: This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey (b) Creator: Tjen-Sien Lim (limt@stat.wisc.edu)…
24352 runs0 likes21 downloads21 reach12 impact
1473 instances - 10 features - 3 classes - 0 missing values
### Description The data consists of real historical data collected from 2010 & 2011. Employees are manually allowed or denied access to resources over time. The data is used to create an algorithm…
35721 runs0 likes23 downloads23 reach31 impact
32769 instances - 10 features - 2 classes - 0 missing values
Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Statlog+(Shuttle)) Donor: Jason Catlett Basser Department of Computer Science, University of Sydney, N.S.W., Australia Data Set Information:…
12 runs0 likes4 downloads4 reach25 impact
58000 instances - 10 features - 7 classes - 0 missing values
bla
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1075 instances - 10 features - classes - 0 missing values
Determinants of Wages from the 1985 Current Population Survey Summary: The Current Population Survey (CPS) is used to supplement census information between census years. These data consist of a random…
2 runs0 likes0 downloads0 reach0 impact
534 instances - 11 features - 0 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
32 runs0 likes0 downloads0 reach0 impact
57 instances - 11 features - 5 classes - 1 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
698 runs0 likes0 downloads0 reach0 impact
97 instances - 11 features - 2 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
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60 instances - 11 features - 0 classes - 14 missing values
As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connectionist-Based Information Systems.…
2 runs0 likes0 downloads0 reach0 impact
200 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…
683 runs0 likes0 downloads0 reach0 impact
60 instances - 11 features - 2 classes - 14 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 likes0 downloads0 reach0 impact
1000 instances - 11 features - 2 classes - 0 missing values
This is the poker dataset, retrieved 2013-11-14 from the libSVM site. Additional to the preprocessing done there (see LibSVM site for details), this dataset was created as follows: -join test and…
23 runs0 likes0 downloads0 reach0 impact
1025010 instances - 11 features - 2 classes - 0 missing values
This is an artificial data set with dependencies between the attribute values. The cases are generated using the following method: X1 : uniformly distributed over [-5,5] X2 : uniformly distributed…
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40768 instances - 11 features - 0 classes - 0 missing values
Contains 110 data sets from the book 'The Statistical Sleuth' by Fred Ramsey and Dan Schafer; Duxbury Press, 1997. (schafer@stat.orst.edu) [14/Oct/97] (172k) Note: description taken from this web…
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87 instances - 11 features - 2 classes - 0 missing values
File README ----------- chscase A collection of the data sets used in the book "A Casebook for a First Course in Statistics and Data Analysis," by Samprit Chatterjee, Mark S. Handcock and Jeffrey S.…
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27 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…
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250 instances - 11 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…
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508 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…
984 runs0 likes0 downloads0 reach0 impact
100 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…
773 runs0 likes0 downloads0 reach0 impact
250 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 likes0 downloads0 reach0 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…
653 runs0 likes0 downloads0 reach0 impact
1000 instances - 11 features - 2 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository.
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1025010 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…
818 runs0 likes0 downloads0 reach0 impact
284 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…
554 runs0 likes0 downloads0 reach0 impact
40768 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…
618 runs0 likes0 downloads0 reach0 impact
40768 instances - 11 features - 2 classes - 0 missing values
Dataset from the MLRR repository: http://axon.cs.byu.edu:5000/
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294 instances - 11 features - 2 classes - 0 missing values
Synthetic dataset. Almost identical to [dataset 152](https://www.openml.org/d/153/edit)
319 runs0 likes0 downloads0 reach0 impact
1000000 instances - 11 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 likes0 downloads0 reach0 impact
500 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 likes0 downloads0 reach0 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 likes0 downloads0 reach0 impact
100 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 likes0 downloads0 reach0 impact
100 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 likes0 downloads0 reach0 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 likes0 downloads0 reach0 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 likes0 downloads0 reach0 impact
250 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…
747 runs0 likes0 downloads0 reach0 impact
200 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…
753 runs0 likes0 downloads0 reach0 impact
508 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…
567 runs0 likes0 downloads0 reach0 impact
40768 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…
773 runs0 likes0 downloads0 reach0 impact
500 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…
782 runs0 likes0 downloads0 reach0 impact
250 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…
970 runs0 likes0 downloads0 reach0 impact
100 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…
814 runs0 likes0 downloads0 reach0 impact
500 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…
791 runs0 likes0 downloads0 reach0 impact
250 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…
797 runs0 likes0 downloads0 reach0 impact
500 instances - 11 features - 2 classes - 0 missing values
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand. Source: TunedIT: http://tunedit.org/repo/DASL DASL file…
593 runs0 likes0 downloads0 reach0 impact
478 instances - 11 features - 3 classes - 0 missing values
No data.
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78732 instances - 11 features - 0 classes - 0 missing values
No data.
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177147 instances - 11 features - 0 classes - 0 missing values
* Abstract: Purpose is to predict poker hands * Source - Creators: Robert Cattral (cattral '@' gmail.com) Franz Oppacher (oppacher '@' scs.carleton.ca) Carleton University, Department of Computer…
1 runs0 likes0 downloads0 reach0 impact
1025009 instances - 11 features - 10 classes - 0 missing values
* Abstract: 9-class version of poker-hand dataset, it was removed the minority class.
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1025000 instances - 11 features - 9 classes - 0 missing values
1. Title of Database: Blocks Classification 2. Sources: (a) Donato Malerba Dipartimento di Informatica University of Bari via Orabona 4 70126 Bari - Italy phone: +39 - 80 - 5443269 fax: +39 - 80 -…
2719 runs0 likes0 downloads0 reach0 impact
5473 instances - 11 features - 5 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning…
10 runs0 likes0 downloads0 reach0 impact
195 instances - 11 features - 0 classes - 2 missing values
This is an artificial data set described in Breiman et al. (1984,p.238) (with variance 1 instead of 2). Generate the values of the 10 attributes independently using the following probabilities: P(X_1…
2 runs0 likes0 downloads0 reach0 impact
40768 instances - 11 features - 0 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
781 runs0 likes0 downloads0 reach0 impact
5473 instances - 11 features - 2 classes - 0 missing values
Modified version of the training dataset of the Bike Sharing Demand challenge running on Kaggle (http://www.kaggle.com/c/bike-sharing-demand/) If you use the problem in publication, please cite:…
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10886 instances - 11 features - 0 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…
155162 runs0 likes0 downloads0 reach0 impact
583 instances - 11 features - 2 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Author: Gregory Gay, Tim Menzies, Misty Davies, Karen Gundy-Burlet Source: [Zenodo](https://zenodo.org/record/322475) Please cite: Misty Davies. (2009). bike [Data set]. Zenodo. DOI:…
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4435 instances - 11 features - classes - 0 missing values
Context The Chernobyl disaster was a nuclear accident that occurred on 26 April 1986 at the No. 4 nuclear reactor in the Chernobyl Nuclear Power Plant, near the city of Pripyat in the north of the…
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2051 instances - 11 features - classes - 795 missing values
I choice used cars in the project in order to use machine learning to predict car's price. Assign fair price for used car has a big issue depend on their features after usr it. So, I tried to collect…
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1220 instances - 11 features - classes - 8479 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
13376 instances - 11 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
566602 instances - 11 features - 0 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
566602 instances - 11 features - 0 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
16714 instances - 11 features - 0 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
13376 instances - 11 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
13376 instances - 11 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
566602 instances - 11 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
566602 instances - 11 features - 2 classes - 0 missing values
This data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or he continues to be a…
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10000 instances - 11 features - 0 classes - 0 missing values
This dataset is for classification tasks, and has both continuous and categorical variables.
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23548 instances - 11 features - 0 classes - 0 missing values
TEST STUDENTS DATA
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100 instances - 11 features - classes - 0 missing values
No data.
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8192 instances - 11 features - classes - 0 missing values