OpenML
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# Data Description This is the historical price data of the FOREX USD/CHF from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1835 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX USD/JPY from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1835 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX USD/JPY from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1835 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/DKK from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1836 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/DKK from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1836 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/SEK from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1837 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/NOK from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1837 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/SEK from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1837 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/USD from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1837 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/NOK from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1837 instances - 12 features - 2 classes - 0 missing values
# Data Description This is the historical price data of the FOREX EUR/USD from Dukascopy. One instance (row) is one candlestick of one day. The whole dataset has the data range from 1-1-2018 to…
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1837 instances - 12 features - 2 classes - 0 missing values
Probable risk factors for coronary thrombosis, comprising data from 1841 men. The coronary data set contains the following 6 variables: Smoking (smoking): a two-level factor with levels no and yes. M.…
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1841 instances - 6 features - classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 12261, and it has 1842 rows and 1026 features…
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1842 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 12071, and it has 1852 rows and 1026 features…
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1852 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10938, and it has 1862 rows and 1026 features…
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1862 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 17084, and it has 1863 rows and 1026 features…
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1863 instances - 1026 features - 0 classes - 0 missing values
Context This dataset was prepared for the journal article entitled "On the prediction of critical heat flux using a physics-informed machine learning-aided framework" (doi:…
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1865 instances - 9 features - classes - 0 missing values
Context This dataset was prepared for the journal article entitled "On the prediction of critical heat flux using a physics-informed machine learning-aided framework" (doi:…
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1865 instances - 9 features - classes - 0 missing values
## **Meta-Album Textures-DTD Dataset (Mini)** The Textures DTD dataset(https://www.robots.ox.ac.uk/~vgg/data/dtd/index.html) is a large textures dataset which consists of 5 640 images. The data is…
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1880 instances - 3 features - 47 classes - 1880 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10839, and it has 1891 rows and 1026 features…
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1891 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 25, and it has 1897 rows and 1026 features (including…
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1897 instances - 1026 features - 0 classes - 0 missing values
This dataset is part of my personal project Apartment Pricing: Advance Regression Techniques. You can check the details on the below URL: Apartment Pricing: Advanced Regression Techniques The data is…
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1905 instances - 37 features - classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10580, and it has 1926 rows and 1026 features…
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1926 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10266, and it has 1932 rows and 1026 features…
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1932 instances - 1026 features - 0 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…
277767 runs2 likes52 downloads54 reach26 impact
1941 instances - 34 features - 2 classes - 0 missing values
Subsampling of the dataset steel-plates-fault (40982) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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1941 instances - 28 features - 7 classes - 0 missing values
Subsampling of the dataset steel-plates-fault (40982) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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1941 instances - 28 features - 7 classes - 0 missing values
Subsampling of the dataset steel-plates-fault (40982) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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1941 instances - 28 features - 7 classes - 0 missing values
Subsampling of the dataset steel-plates-fault (40982) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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1941 instances - 28 features - 7 classes - 0 missing values
Subsampling of the dataset steel-plates-fault (40982) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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1941 instances - 28 features - 7 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'…
9051 runs1 likes3 downloads4 reach16 impact
1941 instances - 28 features - 7 classes - 0 missing values
Primary Biliary Cirrhosis This data set is a follow-up to the original PBC data set, as discussed in appendix D of Fleming and Harrington, Counting Processes and Survival Analysis, Wiley, 1991. An…
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1945 instances - 19 features - 0 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…
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1945 instances - 19 features - 2 classes - 1133 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 47, and it has 1953 rows and 1026 features (including…
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1953 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 11109, and it has 1976 rows and 1026 features…
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1976 instances - 1026 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 10131, and it has 1979 rows and 1026 features…
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1979 instances - 1026 features - 0 classes - 0 missing values
This datasets covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of major companies in the…
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1984 instances - 84 features - classes - 3029 missing values
This datasets covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of major companies in the…
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1984 instances - 84 features - classes - 3029 missing values
This datasets covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of major companies in the…
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1984 instances - 84 features - classes - 3029 missing values
This datasets covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of major companies in the…
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1984 instances - 84 features - classes - 3029 missing values
Context We collect recent tweets of Donald Trump, the 45th President of United States of America. The data is collected using tweepy Python package to access Twitter API. Inspiration Study the…
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1984 instances - 16 features - classes - 1914 missing values
Title: Communities and Crime Abstract: Communities within the United States. The data combines socio-economic data from the 1990 US Census, law enforcement data from the 1990 US LEMAS survey, and…
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1994 instances - 128 features - 0 classes - 39202 missing values
Ignores community name.**Author**: Title: Communities and Crime Abstract: Communities within the United States. The data combines socio-economic data from the 1990 US Census, law enforcement data from…
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1994 instances - 127 features - 0 classes - 39202 missing values
test
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1994 instances - 127 features - 0 classes - 39202 missing values
testtest
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1994 instances - 127 features - 0 classes - 0 missing values
Communities and Crime (Binarized) The following changes were introduced to OpenML Dataset 315. * binarized 'racepctblack' at 0.06 binarized 'ViolentCrimesPerPop' at 0.2
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1994 instances - 129 features - 2 classes - 39202 missing values
Communities and Crime (Binarized) The following changes were introduced to OpenML Dataset 315. * binarized 'racepctblack' at 0.06 binarized 'ViolentCrimesPerPop' at 0.2
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1994 instances - 129 features - 0 classes - 39202 missing values
Context This dataset contains audio statistics of the top 2000 tracks on Spotify. The data contains about 15 columns each describing the track and it's qualities. Songs released from 1956 to 2019 are…
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1994 instances - 15 features - 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…
766 runs0 likes0 downloads0 reach0 impact
2000 instances - 217 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…
758 runs0 likes11 downloads11 reach15 impact
2000 instances - 77 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…
773 runs0 likes0 downloads0 reach0 impact
2000 instances - 7 features - 2 classes - 0 missing values
One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. Corresponding patterns in different datasets correspond to the same…
38885 runs0 likes0 downloads0 reach0 impact
2000 instances - 65 features - 10 classes - 0 missing values
One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. Corresponding patterns in different datasets correspond to the same…
38439 runs0 likes0 downloads0 reach0 impact
2000 instances - 77 features - 10 classes - 0 missing values
One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. Corresponding patterns in different datasets correspond to the same…
36330 runs0 likes0 downloads0 reach0 impact
2000 instances - 7 features - 10 classes - 0 missing values
One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. Corresponding patterns in different datasets correspond to the same…
34883 runs0 likes0 downloads0 reach0 impact
2000 instances - 48 features - 10 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…
728 runs0 likes0 downloads0 reach0 impact
2000 instances - 241 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…
794 runs0 likes9 downloads9 reach15 impact
2000 instances - 65 features - 2 classes - 0 missing values
Multi-label dataset. The image benchmark dataset consists of 2000 natural scene images. Zhou and Zhang (2007) extracted 135 features for each image and made it publicly available as processed image…
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2000 instances - 140 features - classes - 0 missing values
Multi-label dataset. A subset of the reuters dataset includes 2000 observations for text classification.
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2000 instances - 250 features - classes - 0 missing values
Multi-label dataset. The image benchmark dataset consists of 2000 natural scene images. Zhou and Zhang (2007) extracted 135 features for each image and made it publicly available as processed image…
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2000 instances - 140 features - 2 classes - 0 missing values
Multi-label dataset. A subset of the reuters dataset includes 2000 observations for text classification.
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2000 instances - 250 features - 2 classes - 0 missing values
Multi-label dataset. The image benchmark dataset consists of 2000 natural scene images. Zhou and Zhang (2007) extracted 135 features for each image and made it publicly available as processed image…
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2000 instances - 140 features - classes - 0 missing values
Multi-label dataset. A subset of the reuters dataset includes 2000 observations for text classification.
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 250 features - classes - 0 missing values
One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. The maps were scanned in 8 bit grey value at density of 400dpi,…
11351 runs0 likes0 downloads0 reach0 impact
2000 instances - 241 features - 10 classes - 0 missing values
## **Meta-Album Animals with Attributes Dataset (Mini)** The original Animals with Attributes 2 (AWA) dataset (https://cvml.ist.ac.at/AwA2/) was designed to benchmark transfer-learning algorithms, in…
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2000 instances - 3 features - 50 classes - 2000 missing values
Subsampling of the dataset KDDCup09_appetency (1111) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 93 features - 2 classes - 127027 missing values
Subsampling of the dataset KDDCup09_appetency (1111) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 94 features - 2 classes - 118767 missing values
Subsampling of the dataset KDDCup09_appetency (1111) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 92 features - 2 classes - 121455 missing values
Subsampling of the dataset KDDCup09_appetency (1111) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 93 features - 2 classes - 125883 missing values
Subsampling of the dataset KDDCup09_appetency (1111) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 94 features - 2 classes - 124468 missing values
Subsampling of the dataset KDDCup09_upselling (44186) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 50 features - 2 classes - 0 missing values
Subsampling of the dataset KDDCup09_upselling (44186) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 50 features - 2 classes - 0 missing values
Subsampling of the dataset KDDCup09_upselling (44186) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 50 features - 2 classes - 0 missing values
Subsampling of the dataset KDDCup09_upselling (44186) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 50 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) 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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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) 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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2000 instances - 101 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 Bioresponse (4134) 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 - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) 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 - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Bioresponse (4134) 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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2000 instances - 101 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,…
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2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
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2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset PhishingWebsites (4534) 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(…
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2000 instances - 31 features - 2 classes - 0 missing values
Subsampling of the dataset PhishingWebsites (4534) 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(…
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2000 instances - 31 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) 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 - 101 features - 2 classes - 0 missing values
Subsampling of the dataset Internet-Advertisements (40978) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
0 runs0 likes0 downloads0 reach0 impact
2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset GesturePhaseSegmentationProcessed (4538) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
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2000 instances - 33 features - 5 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 52 features - 6 classes - 0 missing values
Subsampling of the dataset first-order-theorem-proving (1475) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…
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2000 instances - 52 features - 6 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