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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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13376 instances - 11 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original…
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10578 instances - 8 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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3172 instances - 6 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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72998 instances - 51 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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38474 instances - 8 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
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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13376 instances - 11 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
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10578 instances - 8 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
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…
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38474 instances - 8 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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566602 instances - 11 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original…
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10082 instances - 27 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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13488 instances - 17 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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566602 instances - 11 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
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10082 instances - 27 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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13488 instances - 17 features - 2 classes - 0 missing values
## **Meta-Album Plant Village Dataset (Mini)** The Plant Village dataset(https://data.mendeley.com/datasets/tywbtsjrjv/1) contains camera photos of 17 crop leaves. The original image resolution is…
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1520 instances - 3 features - 38 classes - 0 missing values
## **Meta-Album OmniPrint-MD-mix Dataset (Mini)** OmniPrint-MD-mix dataset consists of 28 240 images (128x128, RGB) from 706 categories. The images are synthesized with OmniPrint, and no further…
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28240 instances - 69 features - 0 classes - 665053 missing values
## **Meta-Album Textures Dataset (Mini)** 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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2560 instances - 3 features - 64 classes - 2560 missing values
## **Meta-Album OmniPrint-MD-6 Dataset (Mini)** 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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28120 instances - 47 features - 0 classes - 56 missing values
Finding which features are most important to job profitability
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14480 instances - 30 features - 0 classes - 0 missing values
## **Meta-Album PanNuke Dataset (Micro)** The PanNuke dataset(https://jgamper.github.io/PanNukeDataset/) is a semi-automatically generated segmentation and classification task of nuclei. The dataset…
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760 instances - 3 features - 19 classes - 760 missing values
## **Meta-Album Insects2 Dataset (Mini)** 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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4080 instances - 3 features - 102 classes - 4080 missing values
## **Meta-Album PlantNet Dataset (Mini)** 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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1000 instances - 3 features - 25 classes - 1000 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
## **Meta-Album Airplanes Dataset (Mini)** 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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840 instances - 3 features - 21 classes - 840 missing values
## **Meta-Album OmniPrint-MD-5-bis Dataset (Mini)** 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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28240 instances - 39 features - 0 classes - 2 missing values
## **Meta-Album PanNuke Dataset (Mini)** The PanNuke dataset(https://jgamper.github.io/PanNukeDataset/) is a semi-automatically generated segmentation and classification task of nuclei. The dataset…
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760 instances - 3 features - 19 classes - 760 missing values
## **Meta-Album Dogs Dataset (Mini)** Researchers from Stanford University created the original Dogs dataset (http://vision.stanford.edu/aditya86/ImageNetDogs/). It contains more than 20 000 images…
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4800 instances - 3 features - 120 classes - 4800 missing values
## **Meta-Album Medicinal Leaf Dataset (Mini)** The Medicinal Leaf Database(https://data.mendeley.com/datasets/nnytj2v3n5/1) gathers 30 species of healthy and mature medicinal herbs. The leaves are…
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1000 instances - 3 features - 25 classes - 1000 missing values
## **Meta-Album RSICB Dataset (Mini)** RSICB128 dataset (https://github.com/lehaifeng/RSI-CB) covers 45 scene categories, assembling in total 36 000 images of resolution 128x128 px. The data authors…
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1800 instances - 3 features - 45 classes - 0 missing values
## **Meta-Album MPII Human Pose Dataset Dataset (Mini)** 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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1160 instances - 3 features - 29 classes - 1160 missing values
## **Meta-Album Fungi Dataset (Mini)** 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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1000 instances - 3 features - 25 classes - 0 missing values
## **Meta-Album Plant Doc Dataset (Mini)** 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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1080 instances - 3 features - 27 classes - 1080 missing values
## **Meta-Album Textures-ALOT Dataset (Mini)** 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 in…
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10000 instances - 3 features - 250 classes - 10000 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
## **Meta-Album Insects Dataset (Mini)** 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 different…
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4160 instances - 3 features - 104 classes - 0 missing values
## **Meta-Album Plankton Dataset (Mini)** The Plankton dataset is created by researchers at the Woods Hole Oceanographic Institution (https://www.whoi.edu/). Imaging FlowCytobot (IFCB) was used for…
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3440 instances - 3 features - 86 classes - 3440 missing values
## **Meta-Album Flowers Dataset (Mini)** The Flowers dataset(https://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html) consists of a variety of flowers gathered from different websites and some…
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4080 instances - 3 features - 102 classes - 4080 missing values
## **Meta-Album Sports Actions Dataset (Mini)** The 100-Sports dataset(https://www.kaggle.com/datasets/gpiosenka/sports-classification) is a collection of sports images covering 73 different sports.…
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2920 instances - 3 features - 73 classes - 2920 missing values
## **Meta-Album Birds Dataset (Mini)** When Meta-Album was created, the Birds dataset(https://www.kaggle.com/datasets/gpiosenka/100-bird-species) contained images of 315 bird species, but now it has…
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12600 instances - 3 features - 315 classes - 12600 missing values
## **Meta-Album RSD Dataset (Mini)** 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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1520 instances - 3 features - 38 classes - 1520 missing values
## **Meta-Album Subcellular Human Protein Dataset (Mini)** 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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840 instances - 3 features - 21 classes - 840 missing values
## **Meta-Album Boats Dataset (Mini)** 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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1040 instances - 3 features - 26 classes - 1040 missing values
## **Meta-Album Cars Dataset (Mini)** 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 classes…
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7840 instances - 3 features - 196 classes - 7840 missing values
## **Meta-Album RESISC Dataset (Mini)** 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 a…
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1800 instances - 3 features - 45 classes - 1800 missing values
## **Meta-Album Stanford 40 Actions Dataset (Mini)** 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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1560 instances - 3 features - 39 classes - 1560 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 amazon-commerce-reviews (1457) 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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1500 instances - 101 features - 50 classes - 0 missing values
Subsampling of the dataset amazon-commerce-reviews (1457) 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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1500 instances - 101 features - 50 classes - 0 missing values
Subsampling of the dataset amazon-commerce-reviews (1457) 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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1500 instances - 101 features - 50 classes - 0 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 amazon-commerce-reviews (1457) 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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1500 instances - 101 features - 50 classes - 0 missing values
Subsampling of the dataset amazon-commerce-reviews (1457) 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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1500 instances - 101 features - 50 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 yeast (181) 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, seed:…
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1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset yeast (181) 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, seed:…
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1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset Australian (40981) 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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690 instances - 15 features - 2 classes - 0 missing values
Subsampling of the dataset yeast (181) 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, seed:…
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1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset yeast (181) 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, seed:…
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1484 instances - 9 features - 10 classes - 0 missing values
Subsampling of the dataset yeast (181) 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, seed:…
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1484 instances - 9 features - 10 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…
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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:…
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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:…
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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:…
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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,…
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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,…
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2000 instances - 21 features - 2 classes - 0 missing values
Subsampling of the dataset okcupid-stem (42734) 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 - 20 features - 3 classes - 5980 missing values
Subsampling of the dataset okcupid-stem (42734) 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 - 20 features - 3 classes - 6117 missing values
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
Subsampling of the dataset kick (41162) 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, seed:…
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2000 instances - 33 features - 2 classes - 4098 missing values
Subsampling of the dataset kick (41162) 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, seed:…
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2000 instances - 33 features - 2 classes - 4109 missing values