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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940160 instances - 25 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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7608 instances - 21 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
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57580 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 numerical features" benchmark.…
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2554 instances - 12 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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8192 instances - 22 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 numerical features" benchmark.…
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8192 instances - 22 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 numerical features" benchmark.…
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15000 instances - 27 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 numerical features" benchmark.…
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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 "classification on numerical features" benchmark.…
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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 "classification on numerical features" benchmark.…
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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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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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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
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
This dataset was obtained from the UCI Repository. The dataset was created by Angeliki Xifara (angxifara '@' gmail.com, Civil/Structural Engineer) and was processed by Athanasios Tsanas…
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768 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 "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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566602 instances - 11 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 numerical features" benchmark.…
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10082 instances - 27 features - 2 classes - 0 missing values
This dataset was obtained from the **AER** R package (see citation request below). Cross-section data originating from the March 1988 Current Population Survey by the US Census Bureau. The data is a…
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28155 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 "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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566602 instances - 11 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 numerical features" benchmark.…
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16714 instances - 11 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 numerical features" benchmark.…
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20634 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 "regression on numerical features" benchmark. Original…
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57580 instances - 55 features - 2 classes - 0 missing values
SPAM E-mail Database The "spam" concept is diverse: advertisements for products/websites, make money fast schemes, chain letters, pornography... Our collection of spam e-mails came from our postmaster…
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4601 instances - 58 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 "classification on numerical features" benchmark.…
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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 "classification on numerical features" benchmark.…
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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.…
0 runs0 likes0 downloads0 reach0 impact
940160 instances - 25 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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940160 instances - 25 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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7608 instances - 21 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original…
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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 "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.…
0 runs0 likes0 downloads0 reach0 impact
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.…
0 runs0 likes0 downloads0 reach0 impact
5188 instances - 21 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…
0 runs0 likes0 downloads0 reach0 impact
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.…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
1000 instances - 21 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original…
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
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.…
0 runs0 likes0 downloads0 reach0 impact
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.…
0 runs0 likes0 downloads0 reach0 impact
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
Finding which features are most important to job profitability
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14480 instances - 30 features - 0 classes - 0 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