Subsampling of the dataset okcupid-stem (42734) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
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2000 instances - 20 features - 3 classes - 6105 missing values
We aggregated screen movements into screen-fixations using a Salvucci & Goldberg (2000) dispersion-threshold algorithm, and defined Perception Action Cycles (PACs) as fixations with at least one…
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3395 instances - 20 features - classes - 168 missing values
Find out which seedlots in a species are best for soil conservation in dry hill country. Bulluch B. T., (1992) Eucalyptus Species Selection for Soil Conservation in Seasonally Dry Hill Country -…
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736 instances - 20 features - 5 classes - 0 missing values
Subsampling of the dataset eucalyptus (188) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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736 instances - 20 features - 5 classes - 448 missing values
Subsampling of the dataset eucalyptus (188) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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736 instances - 20 features - 5 classes - 448 missing values
Subsampling of the dataset eucalyptus (188) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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736 instances - 20 features - 5 classes - 448 missing values
Subsampling of the dataset eucalyptus (188) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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736 instances - 20 features - 5 classes - 448 missing values
Subsampling of the dataset eucalyptus (188) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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736 instances - 20 features - 5 classes - 448 missing values
Subsampling of the dataset okcupid-stem (42734) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
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2000 instances - 20 features - 3 classes - 5992 missing values
Subsampling of the dataset okcupid-stem (42734) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample(…
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2000 instances - 20 features - 3 classes - 6050 missing values
Context "Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets] Content Each row represents a…
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7043 instances - 20 features - 2 classes - 11 missing values
Context You can find a detailed weather data (2015-2020) of Ulaanbaatar, capital city of Mongolia. Content Data is including the timestamps (UTC) and timely basis data of weather related features,…
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49184 instances - 20 features - classes - 138 missing values
Context Bus Breakdown and Delays You can find the road where the traffic was heavy for the New York City Taxi Trip Duration playground. Content The Bus Breakdown and Delay system collects information…
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147972 instances - 20 features - classes - 170487 missing values
No description available
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190776 instances - 20 features - 0 classes - 22484 missing values
This synthetic dataset contains demographic and clinical data used to train a classifier to predict a diagnosis (of schizophrenia or depression) and assess the model performance for intersectional…
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11000 instances - 20 features - 0 classes - 0 missing values
https://www.kaggle.com/harlfoxem/ This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It contains 19 house features…
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21613 instances - 20 features - classes - 0 missing values
Product listing data submitted to the U.S. FDA for all unfinished, unapproved drugs.
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120215 instances - 20 features - 7 classes - 443305 missing values
Introduction The data id collected using YouTube Data Tools from Kaggle YouTube channel. It shows information about all videos from this channel, starting with 2018. Data collection Using YouTube Data…
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316 instances - 20 features - classes - 316 missing values
Context Japanese animation, which is known as anime, has become internationally widespread nowadays. This dataset provides data on anime taken from Anime News Network. Content This dataset consists of…
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1563 instances - 20 features - classes - 0 missing values
Dataset is from http://tomslee.net/airbnb-data-collection-get-the-data room_id: A unique number identifying an Airbnb listing. The listing has a URL on the Airbnb web site of…
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13578 instances - 20 features - classes - 54347 missing values
Context The World Happiness Ranking focuses on the social, urban, and natural environment. Specifically, the ranking relies on self-reports from residents of how they weigh the quality of life they…
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153 instances - 20 features - classes - 0 missing values
Context World fact sheet, fun to link with other datasets. Content Information on population, region, area size, infant mortality and more. Acknowledgements Source: All these data sets are made up of…
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227 instances - 20 features - classes - 110 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
The instances were drawn randomly from a database of 7 outdoor images. The images were hand-segmented to create a classification for every pixel. Each instance is a 3x3 region. ### Attribute…
23519 runs0 likes0 downloads0 reach0 impact
2310 instances - 20 features - 7 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 likes0 downloads0 reach0 impact
736 instances - 20 features - 2 classes - 448 missing values
No data.
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1000000 instances - 20 features - 5 classes - 0 missing values
#modelage
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224 instances - 20 features - 6 classes - 205 missing values
#modelage
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202 instances - 20 features - 2 classes - 17 missing values
Premier league matches from 2008 to 2014 with TDA features extracted.
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2565 instances - 20 features - classes - 0 missing values
Context "Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets] Content Each row represents a…
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7043 instances - 20 features - 2 classes - 0 missing values
Data for an stock long position
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4477 instances - 20 features - 0 classes - 0 missing values
ACSPublicCoverage dataset reproduced from this paper: https://arxiv.org/pdf/2108.04884.pdf.
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1138289 instances - 20 features - 0 classes - 0 missing values
Context A compilation of all the BUSINESS related courses ( 10 thousand courses) which are available on Udemy's website. Under the Business category, there are courses from Finance, Entrepreneurship,…
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9447 instances - 20 features - classes - 1531 missing values
Context The card payments data is published by the Reserve Bank of India on a monthly basis. The statistics cover the methods of payment used in retail transactions and ATM transactions in India. It…
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5592 instances - 20 features - classes - 4 missing values
Context A collection of tweets (in dutch) and features, gathered in april 2022 using the Twitter API. A small portion of the tweets are annotated by volunteer annotators. The main task is to identify…
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451200 instances - 20 features - 0 classes - 0 missing values
User profile data for San Francisco OkCupid users published in [Kim, A. Y., & Escobedo-Land, A. (2015). OKCupid data for introductory statistics and data science courses. Journal of Statistics…
0 runs0 likes0 downloads0 reach2 impact
50789 instances - 20 features - 3 classes - 154107 missing values
No data.
331 runs0 likes0 downloads0 reach0 impact
1000000 instances - 20 features - 2 classes - 0 missing values
No data.
69 runs0 likes0 downloads0 reach0 impact
1000000 instances - 20 features - 2 classes - 0 missing values
tbd
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80000 instances - 20 features - classes - 0 missing values
No data.
211 runs0 likes0 downloads0 reach0 impact
1000000 instances - 20 features - 7 classes - 0 missing values
The objective was to determine which seedlots in a species are best for soil conservation in seasonally dry hill country. Determination is found by measurement of height, diameter by height, survival,…
27620 runs0 likes12 downloads12 reach11 impact
736 instances - 20 features - 5 classes - 448 missing values
The instances were drawn randomly from a database of 7 outdoor images. The images were hand-segmented to create a classification for every pixel. Each instance is a 3x3 region. __Major changes w.r.t.…
9973 runs0 likes8 downloads8 reach26 impact
2310 instances - 20 features - 7 classes - 0 missing values
This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It contains 19 house features plus the price and the id columns,…
0 runs0 likes4 downloads4 reach9 impact
21613 instances - 20 features - 0 classes - 0 missing values
No data.
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506 instances - 21 features - 0 classes - 0 missing values
Lucas, D. D., Klein, R., Tannahill, J., Ivanova, D., Brandon, S., Domyancic, D., and Zhang, Y.: Failure analysis of parameter-induced simulation crashes in climate models, Geosci. Model Dev. Discuss.,…
162890 runs0 likes0 downloads0 reach0 impact
540 instances - 21 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
720 runs0 likes0 downloads0 reach0 impact
506 instances - 21 features - 2 classes - 0 missing values
* Twonorm dataset This is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution…
118 runs0 likes0 downloads0 reach0 impact
7400 instances - 21 features - 2 classes - 0 missing values
1: Abstract: This is a 20 dimensional, 2 class classification problem. Each class is drawn from a multivariate normal distribution. Class 1 has mean zero and covariance 4 times the identity. Class 2…
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7400 instances - 21 features - 2 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
GAMETES_Epistasis_2-Way_20atts_0.1H_EDM-1_1-pmlb
31 runs0 likes1 downloads1 reach22 impact
1600 instances - 21 features - 2 classes - 0 missing values
GAMETES_Epistasis_2-Way_20atts_0.4H_EDM-1_1-pmlb
31 runs0 likes1 downloads1 reach22 impact
1600 instances - 21 features - 2 classes - 0 missing values
GAMETES_Epistasis_3-Way_20atts_0.2H_EDM-1_1-pmlb
31 runs0 likes1 downloads1 reach22 impact
1600 instances - 21 features - 2 classes - 0 missing values
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_50_EDM-2_001-pmlb
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1600 instances - 21 features - 2 classes - 0 missing values
GAMETES_Heterogeneity_20atts_1600_Het_0.4_0.2_75_EDM-2_001-pmlb
31 runs0 likes1 downloads1 reach22 impact
1600 instances - 21 features - 2 classes - 0 missing values
Automated file upload of BNG(credit-g)
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1000000 instances - 21 features - 2 classes - 0 missing values
__Major changes w.r.t. version 1: deactivated first two variables as they describe the batch of the experiments and should not be used for prediction. Also transformed the target from numeric to…
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540 instances - 21 features - 2 classes - 0 missing values
microaggregation2_nominal
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20000 instances - 21 features - 5 classes - 0 missing values
Context The original dataset contains 1000 entries with 20 categorial/symbolic attributes prepared by Prof. Hofmann. In this dataset, each entry represents a person who takes a credit by a bank. Each…
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1000 instances - 21 features - 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.…
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7608 instances - 21 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.…
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5188 instances - 21 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…
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1000 instances - 21 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
7608 instances - 21 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
5188 instances - 21 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
5188 instances - 21 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…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 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…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset churn (40701) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
TALLO - a global tree allometry and crown architecture database. This is the Tallo dataset described in Jucker et al. (2022) but recreated with Python scripts from Laurens Bliek. The scripts can be…
0 runs0 likes0 downloads0 reach0 impact
307014 instances - 21 features - 0 classes - 0 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…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 21 features - 0 classes - 0 missing values
This dataset contains traffic violation information from all electronic traffic violations issued in the County. Any information that can be used to uniquely identify the vehicle, the vehicle owner or…
0 runs1 likes1 downloads2 reach9 impact
70340 instances - 21 features - 3 classes - 2288 missing values
No data.
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528 instances - 21 features - classes - 0 missing values
No data.
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528 instances - 21 features - classes - 0 missing values
Data Set Name: Autistic Spectrum Disorder Screening Data for Adult Autistic Spectrum Disorder (ASD) is a neurodevelopment condition associated with significant healthcare costs, and early diagnosis…
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704 instances - 21 features - classes - 192 missing values
Content This dataset contains meta data of around 60 Data Science YouTube channel videos meta data. Acknowledgements Data scraped from https://wiki.digitalmethods.net/Dmi/ToolDatabase . Cover Photo:…
0 runs0 likes0 downloads0 reach0 impact
44261 instances - 21 features - classes - 47056 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
5188 instances - 21 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
5188 instances - 21 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
7608 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset kdd_ipums_la_97-small (44124) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset kdd_ipums_la_97-small (44124) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset kdd_ipums_la_97-small (44124) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset kdd_ipums_la_97-small (44124) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset kdd_ipums_la_97-small (44124) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset credit-g (31) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset credit-g (31) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset credit-g (31) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset credit-g (31) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 features - 2 classes - 0 missing values