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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
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
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
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 -…
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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
Test (7)
Test
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958 instances - 10 features - classes - 0 missing values
Test (8)
Test
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2 instances - 1 features - classes - 0 missing values
hate_sample_cln (1)
qsqs
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2 instances - 1 features - classes - 0 missing values
hate_det (1)
dedfef
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2 instances - 1 features - classes - 0 missing values
TestTICTACTOE (1)
Uploead test
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958 instances - 10 features - classes - 0 missing values
filmrev (1)
ddfef fvdf
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8 instances - 1 features - classes - 0 missing values
hate_det5 (1)
wdwd
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2 instances - 1 features - classes - 0 missing values
Midwest_Survey (11)
The midwest survey dataset contain individual responses from surveys about regional identification conducted for FiveThirtyEight by SurveyMonkey.
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2778 instances - 28 features - 10 classes - 1744 missing values
Midwest_Survey_nominal (1)
The midwest survey dataset contain individual responses from surveys about regional identification conducted for FiveThirtyEight by SurveyMonkey.
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2778 instances - 28 features - 10 classes - 1744 missing values
Dataset (1)
dataset for bme
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63 instances - 12 features - classes - 52 missing values
dataset_time_4 (5)
test
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60197 instances - 6 features - classes - 128136 missing values
dataset_time_4 (6)
test
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60197 instances - 6 features - classes - 128136 missing values
MY_DB (1)
MY Dataset
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120 instances - 7 features - classes - 0 missing values
dataset_time_4 (2)
test
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60197 instances - 6 features - classes - 42138 missing values
dataset_time_4 (3)
test
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60197 instances - 6 features - classes - 42138 missing values
dataset_time_4 (4)
test
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60197 instances - 6 features - classes - 42138 missing values
dataset_time_10 (1)
test
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8124 instances - 23 features - classes - 2480 missing values
SalaryData (1)
Salary Emp
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31 instances - 2 features - classes - 0 missing values
Laboratorio_dataset_car (1)
Laboratory dataset
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1750 instances - 7 features - classes - 0 missing values
Laboratorio_dataset_car (2)
Laboratorio_dataset_car
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1750 instances - 7 features - classes - 0 missing values
gnfuv-pi-5 (1)
test
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577 instances - 5 features - classes - 0 missing values
gnfuv-pi-2 (1)
test
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341 instances - 5 features - classes - 0 missing values
gnfuv-pi-3 (1)
test
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263 instances - 5 features - classes - 0 missing values
gnfuv-pi-4 (1)
test
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487 instances - 5 features - classes - 0 missing values
dgf_96f4164d-956d-4c1c-b161-68724eb0ccdc (19)
Arbres urbains
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421 instances - 3 features - 1 classes - 0 missing values
Complete-Historical-Cryptocurrency-Financial-Data (1)
Context Recent growing interest in cryptocurrencies, specifically as a speculative investment vehicle, has sparked global conversation over the past 12 months. Although this data is available across…
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28944 instances - 8 features - classes - 0 missing values
mini_insect_1 (1)
mini insect example dataset # 1
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12 instances - 4 features - 4 classes - 0 missing values
Birds (6)
MINI - Birds dataset
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500 instances - 3 features - 20 classes - 0 missing values
mini_insect_1 (2)
mini insect example dataset # 1
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12 instances - 4 features - 4 classes - 0 missing values
Birds (5)
MINI - Birds dataset
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500 instances - 3 features - 20 classes - 0 missing values
US-2020-Presidential-Election-Speeches (1)
Context The goal of this dataset is to provide a tidy way to access to the transcripts of speeches given by various US politicians in the context of the 2020 US Presidential Election. Transcripts have…
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269 instances - 6 features - classes - 42 missing values
Hotel-Reviews (1)
Data Description Dataset is from one of the leading travel site containing hotel reviews provided by customers. Variable Description User_ID unique ID of the customer Description description of the…
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38932 instances - 4 features - classes - 0 missing values
Meta_Album_FNG_Micro (1)
## **Meta-Album Fungi Dataset (Micro)** Meta-Album Fungi dataset is created by sampling the Danish Fungi 2020 dataset(https://arxiv.org/abs/2103.10107), itself a sampling of the Atlas of Danish Fungi…
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800 instances - 3 features - 20 classes - 0 missing values
Meta_Album_INS_Micro (1)
## **Meta-Album Insects Dataset (Micro)** The original Insects dataset is created by the National Museum of Natural History, Paris (https://www.mnhn.fr/fr). It has more than 290 000 images in…
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800 instances - 3 features - 20 classes - 0 missing values
child_10 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_5 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_6 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_4 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
insurance_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
insurance_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
child_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_1 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_7 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_2 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_3 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_8 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
child_9 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
mildew_0 (1)
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values