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dna_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset dna (40670) 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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2000 instances - 101 features - 3 classes - 0 missing values
segment_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset segment (40984) 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 - 17 features - 7 classes - 0 missing values
segment_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset segment (40984) 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 - 17 features - 7 classes - 0 missing values
kc1_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset kc1 (1067) 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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2000 instances - 22 features - 2 classes - 0 missing values
Amazon_employee_access_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset Amazon_employee_access (4135) 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 - 10 features - 2 classes - 0 missing values
Amazon_employee_access_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset Amazon_employee_access (4135) 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 - 10 features - 2 classes - 0 missing values
Amazon_employee_access_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset Amazon_employee_access (4135) 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 - 10 features - 2 classes - 0 missing values
Amazon_employee_access_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset Amazon_employee_access (4135) 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 - 10 features - 2 classes - 0 missing values
connect-4_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset connect-4 (40668) 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 - 43 features - 3 classes - 0 missing values
connect-4_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset connect-4 (40668) 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 - 43 features - 3 classes - 0 missing values
Amazon_employee_access_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset Amazon_employee_access (4135) 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 - 10 features - 2 classes - 0 missing values
nomao_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset nomao (1486) 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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2000 instances - 101 features - 2 classes - 0 missing values
nomao_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset nomao (1486) 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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2000 instances - 101 features - 2 classes - 0 missing values
nomao_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset nomao (1486) 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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2000 instances - 101 features - 2 classes - 0 missing values
jungle_chess_2pcs_raw_endgame_complete_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) 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 - 7 features - 3 classes - 0 missing values
jungle_chess_2pcs_raw_endgame_complete_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) 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 - 7 features - 3 classes - 0 missing values
adult_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset adult (1590) 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 - 15 features - 2 classes - 242 missing values
adult_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset adult (1590) 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 - 15 features - 2 classes - 248 missing values
adult_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset adult (1590) 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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2000 instances - 15 features - 2 classes - 279 missing values
adult_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset adult (1590) 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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2000 instances - 15 features - 2 classes - 254 missing values
adult_seed_4_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset adult (1590) 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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2000 instances - 15 features - 2 classes - 253 missing values
helena_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset helena (41169) 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 - 28 features - 100 classes - 0 missing values
nomao_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset nomao (1486) 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 - 101 features - 2 classes - 0 missing values
nomao_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset nomao (1486) 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 - 101 features - 2 classes - 0 missing values
connect-4_seed_0_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset connect-4 (40668) 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 - 43 features - 3 classes - 0 missing values
connect-4_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset connect-4 (40668) 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 - 43 features - 3 classes - 0 missing values
connect-4_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset connect-4 (40668) 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 - 43 features - 3 classes - 0 missing values
helena_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset helena (41169) 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 - 28 features - 100 classes - 0 missing values
helena_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset helena (41169) 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 - 28 features - 100 classes - 0 missing values
helena_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset helena (41169) 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 - 28 features - 100 classes - 0 missing values
jungle_chess_2pcs_raw_endgame_complete_seed_1_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) 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 - 7 features - 3 classes - 0 missing values
jungle_chess_2pcs_raw_endgame_complete_seed_2_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) 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 - 7 features - 3 classes - 0 missing values
jungle_chess_2pcs_raw_endgame_complete_seed_3_nrows_2000_nclasses_10_ncols_100_stratify_True (1)
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) 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 - 7 features - 3 classes - 0 missing values
barley_3 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
alarm_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
alarm_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
alarm_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
alarm_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
alarm_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
alarm_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
barley_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
barley_4 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 48 - Number of arcs: 84 - Number of parameters: 114005 -…
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5000 instances - 48 features - classes - 0 missing values
hailfinder_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hepar2_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hepar2_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hepar2_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hailfinder_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hailfinder_3 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hailfinder_4 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hailfinder_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hailfinder_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hailfinder_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hailfinder_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hailfinder_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
hepar2_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hepar2_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hepar2_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hepar2_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hepar2_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
win95pts_0 (1)
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
hepar2_3 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hepar2_4 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
hepar2_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hepar2) - Number of nodes: 70 - Number of arcs: 123 - Number of parameters: 1453 - Average…
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5000 instances - 70 features - classes - 0 missing values
win95pts_1 (1)
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
win95pts_2 (1)
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
win95pts_3 (1)
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
water_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
water_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
hailfinder_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
0 runs0 likes0 downloads0 reach0 impact
5000 instances - 56 features - classes - 0 missing values
hailfinder_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-large.html#hailfinder) - Number of nodes: 56 - Number of arcs: 66 - Number of parameters: 2656 -…
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5000 instances - 56 features - classes - 0 missing values
link_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
link_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
pigs_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_3 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_4 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pigs_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
pathfinder_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values
pathfinder_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values
pathfinder_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values
pathfinder_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values
pathfinder_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values
pathfinder_3 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values
pathfinder_4 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values
pathfinder_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values
pathfinder_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pathfinder) - Number of nodes: 109 - Number of arcs: 195 - Number of parameters: 72079…
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5000 instances - 109 features - classes - 0 missing values