Context Find the best strategies to improve for the next marketing campaign. How can the financial institution have a greater effectiveness for future marketing campaigns? In order to answer this, we…
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11162 instances - 17 features - classes - 0 missing values
Content This is a dataset from the UCI datasets repository. This dataset contains the final scores of students at the end of a math programs with several features that might or might not impact the…
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395 instances - 33 features - classes - 0 missing values
Context In the early 2000s, Billy Beane and Paul DePodesta worked for the Oakland Athletics. While there, they literally changed the game of baseball. They didn't do it using a bat or glove, and they…
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1232 instances - 15 features - classes - 3600 missing values
Data Description Dataset is from one of the leading travel site containing hotel reviews provided by customers. Variable Description User_ID unique ID of the customer Description description of the…
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38932 instances - 4 features - classes - 0 missing values
Context I have collected the Toronto Apartment Rental prices from various sources in local websites. Content There are 7 columns in the dataset. Bedroom - How many bedrooms available Bathroom - How…
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1124 instances - 7 features - 188 classes - 0 missing values
Context The Federal Reserve sets interest rates to promote conditions that achieve the mandate set by the Congress high employment, low and stable inflation, sustainable economic growth, and moderate…
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904 instances - 10 features - classes - 3196 missing values
Context Data Set with the football matches of the Spanish league of the 1st and 2nd division from the 1970-71 to 2016-17 season, has been created with the aim of opening a line of research in the…
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37147 instances - 10 features - classes - 0 missing values
Context: The Consumer Price Indexes (CPI) program produces monthly data on changes in the prices paid by urban consumers for a representative basket of goods and services. It is a useful way to…
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4349 instances - 17 features - classes - 218 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 categorical and numerical features"…
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5032 instances - 46 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 categorical and numerical features"…
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423680 instances - 55 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 categorical and numerical features"…
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4970 instances - 13 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 categorical and numerical features"…
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111762 instances - 33 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 categorical and numerical features"…
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8885 instances - 63 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 categorical and numerical features"…
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4052 instances - 8 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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20640 instances - 9 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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18063 instances - 6 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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515345 instances - 91 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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18063 instances - 6 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 categorical and numerical features"…
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38474 instances - 9 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 categorical and numerical features"…
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7608 instances - 24 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…
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13932 instances - 14 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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21263 instances - 80 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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20640 instances - 9 features - 0 classes - 0 missing values
Davide Ballabio (davide.ballabio @ unimib.it), Matteo Cassotti, Viviana Consonni, Roberto Todeschini, Milano Chemometrics and QSAR Research Group (http://www.michem.unimib.it/), University degli Studi…
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908 instances - 7 features - 0 classes - 0 missing values
Paulo Cortez, University of Minho, Guimaraes, Portugal, http://www3.dsi.uminho.pt/pcortez The dataset was obtained from the UCI Repository. This data approach student achievement in secondary…
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649 instances - 31 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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20640 instances - 9 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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10692 instances - 9 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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17379 instances - 7 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 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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20640 instances - 9 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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22784 instances - 17 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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53940 instances - 7 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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21613 instances - 16 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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10081 instances - 7 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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163065 instances - 4 features - 0 classes - 0 missing values
## **Meta-Album PlantNet Dataset (Micro)** Meta-Album PlantNet dataset is created by sampling the Pl@ntNet-300k dataset (https://openreview.net/forum?id=eLYinD0TtIt), itself a sampling of the Pl@ntNet…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Textures-DTD Dataset (Micro)** 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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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Airplanes Dataset (Micro)** The original Airplanes dataset (https://zenodo.org/record/3464319) comprises more than 9 000 remote sensing images acquired from Google Earth satellite…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album OmniPrint-MD-5-bis Dataset (Micro)** OmniPrint-MD-5-bis dataset consists of 28 240 images (128x128, RGB) from 706 categories. The images are synthesized with OmniPrint, and no further…
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800 instances - 39 features - 0 classes - 0 missing values
## **Meta-Album Textures Dataset (Micro)** The original Textures dataset is a combination of 4 texture datasets: KTH-TIPS and KTH-TIPS 2 (https://www.csc.kth.se/cvap/databases/kth-tips/index.html),…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Cars Dataset (Micro)** The original Cars dataset (https://ai.stanford.edu/~jkrause/cars/car_dataset.html) was collected in 2013, and it contains more than 16 000 images from 196…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album RESISC Dataset (Micro)** RESISC45 dataset(https://gcheng-nwpu.github.io/) gathers 700 RGB images of size 256x256 px for each of 45 scene categories. The data authors strive to provide…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Stanford 40 Actions Dataset (Micro)** The Stanford 40 Actions dataset(http://vision.stanford.edu/Datasets/40actions.html) contains images of humans performing 40 actions. There are 9…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Insects2 Dataset (Micro)** The pest insects dataset was originally created as a large scale benchmark dataset for Insect Pest Recognition (https://github.com/xpwu95/IP102). It contains…
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800 instances - 3 features - 20 classes - 800 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
Turing Binary Classification Dataset (with normalised features)
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10000 instances - 23 features - 0 classes - 2456 missing values
Turing Binary Classification Dataset (with normalised features)
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10000 instances - 53 features - 0 classes - 2476 missing values
## **Meta-Album MPII Human Pose Dataset Dataset (Micro)** The MPII Human Pose dataset (http://human-pose.mpi-inf.mpg.de/#download) is a state of the art benchmark for evaluation of articulated human…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Fungi Dataset (Micro)** Meta-Album Fungi dataset is created by sampling the Danish Fungi 2020 dataset(https://arxiv.org/abs/2103.10107), itself a sampling of the Atlas of Danish Fungi…
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800 instances - 3 features - 20 classes - 0 missing values
## **Meta-Album Plant Doc Dataset (Micro)** The PlantDoc dataset(https://github.com/pratikkayal/PlantDoc-Dataset) is made up of images of leaves of healthy and unhealthy plants. The images were…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Textures-ALOT Dataset (Micro)** Textures ALOT dataset (https://aloi.science.uva.nl/public_alot/) consists of 27 500 images from 250 categories. The images in the dataset are captured…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Animals with Attributes Dataset (Micro)** 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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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Insects Dataset (Micro)** The original Insects dataset is created by the National Museum of Natural History, Paris (https://www.mnhn.fr/fr). It has more than 290 000 images in…
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800 instances - 3 features - 20 classes - 0 missing values
## **Meta-Album RSD Dataset (Micro)** RSD46 dataset (https://github.com/RSIA-LIESMARS-WHU/RSD46-WHU) is collected from Google Earth and Tianditu. The collection contains 46 scene categories, with a…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Subcellular Human Protein Dataset (Micro)** This dataset is a subset of the Subcellular dataset in the Protein Atlas project(https://www.proteinatlas.org/). The original dataset, which…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album Boats Dataset (Micro)** The original version of the Meta-Album boats dataset is called MARVEL dataset (https://github.com/avaapm/marveldataset2016). It has more than 138 000 images of…
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800 instances - 3 features - 20 classes - 800 missing values
## **Meta-Album OmniPrint-MD-6 Dataset (Micro)** OmniPrint-MD-6 dataset consists of 28 120 images (128x128, RGB) from 703 categories. The images are synthesized with OmniPrint, no further processing…
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800 instances - 47 features - 0 classes - 0 missing values
## **Meta-Album DIBaS Dataset (Mini)** The Digital Images of Bacteria Species dataset (DIBaS) (https://github.com/gallardorafael/DIBaS-Dataset) is a dataset of 33 bacterial species with around 20…
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1320 instances - 3 features - 33 classes - 1320 missing values
Subsampling of the dataset MiniBooNE (44128) 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 - 51 features - 2 classes - 0 missing values
Subsampling of the dataset MiniBooNE (44128) 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 - 51 features - 2 classes - 0 missing values
Subsampling of the dataset MiniBooNE (44128) 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 - 51 features - 2 classes - 0 missing values
Subsampling of the dataset Higgs (44129) 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 - 25 features - 2 classes - 0 missing values
Subsampling of the dataset MiniBooNE (44128) 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 - 51 features - 2 classes - 0 missing values
Subsampling of the dataset Higgs (44129) 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 - 25 features - 2 classes - 0 missing values
Subsampling of the dataset bank-marketing (44126) 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 - 8 features - 2 classes - 0 missing values
Subsampling of the dataset bank-marketing (44126) 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 - 8 features - 2 classes - 0 missing values
Subsampling of the dataset bank-marketing (44126) 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 - 8 features - 2 classes - 0 missing values
Subsampling of the dataset bank-marketing (44126) 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 - 8 features - 2 classes - 0 missing values
Subsampling of the dataset phoneme (44127) 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 - 6 features - 2 classes - 0 missing values
Subsampling of the dataset Higgs (44129) 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 - 25 features - 2 classes - 0 missing values
Subsampling of the dataset Higgs (44129) 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 - 25 features - 2 classes - 0 missing values
Subsampling of the dataset Higgs (44129) 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 - 25 features - 2 classes - 0 missing values
Subsampling of the dataset MiniBooNE (44128) 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 - 51 features - 2 classes - 0 missing values
Subsampling of the dataset phoneme (44127) 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 - 6 features - 2 classes - 0 missing values
Subsampling of the dataset phoneme (44127) 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 - 6 features - 2 classes - 0 missing values
Subsampling of the dataset phoneme (44127) 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 - 6 features - 2 classes - 0 missing values
Subsampling of the dataset phoneme (44127) 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 - 6 features - 2 classes - 0 missing values
Subsampling of the dataset jasmine (41143) 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 jasmine (41143) 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 jasmine (41143) 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 airlines (1169) 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 - 8 features - 2 classes - 0 missing values
Subsampling of the dataset airlines (1169) 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 - 8 features - 2 classes - 0 missing values
Subsampling of the dataset APSFailure (41138) 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 - 15419 missing values
Subsampling of the dataset APSFailure (41138) 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 - 17956 missing values
Subsampling of the dataset APSFailure (41138) 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 - 15654 missing values
Subsampling of the dataset fabert (41164) 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 - 7 classes - 0 missing values
Subsampling of the dataset fabert (41164) 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 - 7 classes - 0 missing values
Subsampling of the dataset fabert (41164) 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 - 7 classes - 0 missing values
Subsampling of the dataset fabert (41164) 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 - 7 classes - 0 missing values
Subsampling of the dataset airlines (1169) 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 - 8 features - 2 classes - 0 missing values