Subsampling of the dataset cnae-9 (1468) 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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1080 instances - 101 features - 9 classes - 0 missing values
Subsampling of the dataset cnae-9 (1468) 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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1080 instances - 101 features - 9 classes - 0 missing values
Subsampling of the dataset pc4 (1049) 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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1458 instances - 38 features - 2 classes - 0 missing values
Subsampling of the dataset eucalyptus (188) 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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736 instances - 20 features - 5 classes - 448 missing values
Subsampling of the dataset eucalyptus (188) 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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736 instances - 20 features - 5 classes - 448 missing values
Subsampling of the dataset eucalyptus (188) 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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736 instances - 20 features - 5 classes - 448 missing values
Subsampling of the dataset qsar-biodeg (1494) 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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1055 instances - 42 features - 2 classes - 0 missing values
Subsampling of the dataset qsar-biodeg (1494) 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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1055 instances - 42 features - 2 classes - 0 missing values
Subsampling of the dataset qsar-biodeg (1494) 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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1055 instances - 42 features - 2 classes - 0 missing values
Subsampling of the dataset pc4 (1049) 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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1458 instances - 38 features - 2 classes - 0 missing values
Subsampling of the dataset pc4 (1049) 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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1458 instances - 38 features - 2 classes - 0 missing values
Subsampling of the dataset blood-transfusion-service-center (1464) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python…
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748 instances - 5 features - 2 classes - 0 missing values
Subsampling of the dataset blood-transfusion-service-center (1464) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python…
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748 instances - 5 features - 2 classes - 0 missing values
Subsampling of the dataset blood-transfusion-service-center (1464) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python…
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748 instances - 5 features - 2 classes - 0 missing values
Subsampling of the dataset blood-transfusion-service-center (1464) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python…
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748 instances - 5 features - 2 classes - 0 missing values
Subsampling of the dataset blood-transfusion-service-center (1464) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python…
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748 instances - 5 features - 2 classes - 0 missing values
Subsampling of the dataset qsar-biodeg (1494) 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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1055 instances - 42 features - 2 classes - 0 missing values
Subsampling of the dataset qsar-biodeg (1494) 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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1055 instances - 42 features - 2 classes - 0 missing values
Subsampling of the dataset Fashion-MNIST (40996) 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 - 101 features - 10 classes - 0 missing values
Subsampling of the dataset Fashion-MNIST (40996) 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 - 101 features - 10 classes - 0 missing values
Subsampling of the dataset Fashion-MNIST (40996) 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 - 101 features - 10 classes - 0 missing values
Subsampling of the dataset Fashion-MNIST (40996) 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 - 101 features - 10 classes - 0 missing values
Subsampling of the dataset christine (41142) 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 christine (41142) 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 christine (41142) 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 sylvine (41146) 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 christine (41142) 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 christine (41142) 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 PhishingWebsites (4534) 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 - 31 features - 2 classes - 0 missing values
Subsampling of the dataset PhishingWebsites (4534) 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 - 31 features - 2 classes - 0 missing values
Subsampling of the dataset PhishingWebsites (4534) 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 - 31 features - 2 classes - 0 missing values
Subsampling of the dataset sylvine (41146) 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 sylvine (41146) 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 sylvine (41146) 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 sylvine (41146) 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 Satellite (40900) 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 - 37 features - 2 classes - 0 missing values
Subsampling of the dataset Fashion-MNIST (40996) 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 - 101 features - 10 classes - 0 missing values
Subsampling of the dataset Satellite (40900) 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 - 37 features - 2 classes - 0 missing values
Subsampling of the dataset Satellite (40900) 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 - 37 features - 2 classes - 0 missing values
Subsampling of the dataset Satellite (40900) 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 - 37 features - 2 classes - 0 missing values
Subsampling of the dataset wine-quality-white (40498) 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 - 12 features - 7 classes - 0 missing values
Subsampling of the dataset wine-quality-white (40498) 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 - 12 features - 7 classes - 0 missing values
Subsampling of the dataset Satellite (40900) 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 - 37 features - 2 classes - 0 missing values
Subsampling of the dataset wine-quality-white (40498) 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 - 12 features - 7 classes - 0 missing values
Subsampling of the dataset wine-quality-white (40498) 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 - 12 features - 7 classes - 0 missing values
Subsampling of the dataset wine-quality-white (40498) 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 - 12 features - 7 classes - 0 missing values
Subsampling of the dataset okcupid-stem (42734) 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 - 20 features - 3 classes - 5992 missing values
Subsampling of the dataset okcupid-stem (42734) 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 - 20 features - 3 classes - 6050 missing values
Subsampling of the dataset sf-police-incidents (42732) 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 - 9 features - 2 classes - 0 missing values
Subsampling of the dataset sf-police-incidents (42732) 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 - 9 features - 2 classes - 0 missing values
Subsampling of the dataset KDDCup99 (42746) 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 - 42 features - 8 classes - 0 missing values
Subsampling of the dataset KDDCup99 (42746) 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 - 42 features - 8 classes - 0 missing values
Subsampling of the dataset KDDCup99 (42746) 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 - 42 features - 8 classes - 0 missing values
Subsampling of the dataset porto-seguro (42742) 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 - 58 features - 2 classes - 2775 missing values
Subsampling of the dataset porto-seguro (42742) 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 - 58 features - 2 classes - 2855 missing values
Subsampling of the dataset porto-seguro (42742) 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 - 58 features - 2 classes - 2863 missing values
Subsampling of the dataset porto-seguro (42742) 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 - 58 features - 2 classes - 2837 missing values
Subsampling of the dataset KDDCup99 (42746) 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 - 42 features - 8 classes - 0 missing values
Subsampling of the dataset KDDCup99 (42746) 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 - 42 features - 8 classes - 0 missing values
Subsampling of the dataset porto-seguro (42742) 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 - 58 features - 2 classes - 2846 missing values
Subsampling of the dataset KDDCup09-Upselling (43072) 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 - 3570 missing values
Subsampling of the dataset KDDCup09-Upselling (43072) 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 - 7121 missing values
Subsampling of the dataset KDDCup09-Upselling (43072) 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 - 5914 missing values
Subsampling of the dataset KDDCup09-Upselling (43072) 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 KDDCup09-Upselling (43072) 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 - 9426 missing values
The original dataset for 'ECG5000' is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record 'chf07'. It was originally published in…
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4998 instances - 141 features - 0 classes - 0 missing values
The original dataset for 'ECG5000' is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record 'chf07'. It was originally published in…
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4998 instances - 141 features - 0 classes - 0 missing values
Subsampling of the dataset sf-police-incidents (42732) 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 - 9 features - 2 classes - 0 missing values
Subsampling of the dataset sf-police-incidents (42732) 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 - 9 features - 2 classes - 0 missing values
Subsampling of the dataset sf-police-incidents (42732) 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 - 9 features - 2 classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 76 - Number of arcs: 112 - Number of parameters: 574 - Average…
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5000 instances - 76 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 76 - Number of arcs: 112 - Number of parameters: 574 - Average…
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5000 instances - 76 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 76 - Number of arcs: 112 - Number of parameters: 574 - Average…
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5000 instances - 76 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 76 - Number of arcs: 112 - Number of parameters: 574 - Average…
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5000 instances - 76 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 76 - Number of arcs: 112 - Number of parameters: 574 - Average…
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5000 instances - 76 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 76 - Number of arcs: 112 - Number of parameters: 574 - Average…
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5000 instances - 76 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 76 - Number of arcs: 112 - Number of parameters: 574 - Average…
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5000 instances - 76 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#andes) - Number of nodes: 223 - Number of arcs: 338 - Number of parameters: 1157 -…
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5000 instances - 223 features - classes - 0 missing values
At Santander our mission is to help people and businesses prosper. We are always looking for ways to help our customers understand their financial health and identify which products and services might…
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200000 instances - 201 features - 2 classes - 0 missing values
Context "Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets] Content Each row represents a…
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7043 instances - 20 features - 2 classes - 11 missing values
======================================================================================================== Seismic bumps dataset…
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2584 instances - 19 features - 2 classes - 0 missing values
Dota 2 is a popular computer game with two teams of 5 players. At the start of the game each player chooses a unique hero with different strengths and weaknesses. Source: stephen.tridgell '@'…
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102944 instances - 117 features - 2 classes - 0 missing values
This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using…
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32561 instances - 15 features - classes - 4262 missing values
Pulsar candidates collected during the HTRU survey. Pulsars are a type of star, of considerable scientific interest. Candidates must be classified in to pulsar and non-pulsar classes to aid discovery.…
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17898 instances - 9 features - 2 classes - 0 missing values
This is the training set of the COIL 2000 challenge as used by Huang et al. (2020). > Huang, X., Khetan, A., Cvitkovic, M., & Karnin, Z. (2020). > Tabtransformer: Tabular data modeling using…
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5822 instances - 86 features - 0 classes - 0 missing values
## Source: 1. C. Okan Sakar Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Bahcesehir University, 34349 Besiktas, Istanbul, Turkey 2. Yomi Kastro Inveon Information…
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12330 instances - 18 features - 2 classes - 0 missing values
## Overview The Otto Group is one of the world's biggest e-commerce companies, with subsidiaries in more than 20 countries, including Crate & Barrel (USA), Otto.de (Germany) and 3 Suisses (France). We…
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61878 instances - 94 features - 9 classes - 0 missing values
This is the datasets from the Kaggle Higgs Boson Machine Learning Challenge 2014. The data was downloaded from the [CERN website](http://opendata.cern.ch/record/328), which also hosts the…
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818238 instances - 31 features - 2 classes - 0 missing values
This is the datasets from the Kaggle Higgs Boson Machine Learning Challenge 2014. The data was downloaded from the [CERN website](http://opendata.cern.ch/record/328), which also hosts the…
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818238 instances - 31 features - 2 classes - 5168486 missing values