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…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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,…
0 runs0 likes0 downloads0 reach0 impact
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,…
0 runs0 likes0 downloads0 reach0 impact
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
Subsampling of the dataset airlines (1169) 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 - 8 features - 2 classes - 0 missing values
Subsampling of the dataset airlines (1169) 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 - 8 features - 2 classes - 0 missing values
Subsampling of the dataset APSFailure (41138) 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 - 19156 missing values
Subsampling of the dataset dilbert (41163) 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 - 5 classes - 0 missing values
Subsampling of the dataset dilbert (41163) 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 - 5 classes - 0 missing values
Subsampling of the dataset fabert (41164) 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 - 101 features - 7 classes - 0 missing values
Subsampling of the dataset jasmine (41143) 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
2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset jasmine (41143) 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 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…
0 runs0 likes0 downloads0 reach0 impact
1941 instances - 28 features - 7 classes - 0 missing values
Subsampling of the dataset APSFailure (41138) 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 - 19825 missing values
Subsampling of the dataset dilbert (41163) 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 - 101 features - 5 classes - 0 missing values
Subsampling of the dataset dilbert (41163) 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 - 101 features - 5 classes - 0 missing values
Subsampling of the dataset dilbert (41163) 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 - 101 features - 5 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…
0 runs0 likes0 downloads0 reach0 impact
1941 instances - 28 features - 7 classes - 0 missing values