10586161
28997
Marc Boel
9983
Supervised Classification
19039
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2)
8302443
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
n_jobs
null
19031
remainder
"drop"
19031
sparse_threshold
0.3
19031
transformer_weights
null
19031
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
19031
verbose
false
19031
verbose_feature_names_out
true
19031
add_indicator
false
19032
copy
true
19032
fill_value
null
19032
missing_values
NaN
19032
strategy
"mean"
19032
verbose
0
19032
categories
"auto"
19033
drop
null
19033
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
19033
handle_unknown
"ignore"
19033
sparse
true
19033
memory
null
19039
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19039
verbose
false
19039
ccp_alpha
0.0
19040
criterion
"friedman_mse"
19040
init
null
19040
learning_rate
0.2676188047289144
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1703
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
4
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
18
19040
random_state
9811
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.17496440294536483
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22098590
description
https://api.openml.org/data/download/22098590/description.xml
-1
22098591
predictions
https://api.openml.org/data/download/22098591/predictions.arff
area_under_roc_curve
0.9357404679159179 [0.93574,0.93574]
average_cost
0
f_measure
0.8584996384636472 [0.875222,0.837962]
kappa
0.7134043171069135
kb_relative_information_score
0.5354694838678171
mean_absolute_error
0.24799502151853414
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8590120160213618 [0.897057,0.812286]
number_of_instances
14980 [8257,6723]
precision
0.8593115472055329 [0.854424,0.865315]
predictive_accuracy
0.8590120160213618
prior_entropy
0.9924223735239917
relative_absolute_error
0.5012456114821459
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.32452834451688206
root_relative_squared_error
0.6524868293853773
total_cost
0
unweighted_recall
0.8546716121367397 [0.897057,0.812286]
area_under_roc_curve
0.9428092211460856 [0.942809,0.942809]
area_under_roc_curve
0.9439081776778507 [0.943908,0.943908]
area_under_roc_curve
0.9476122016603251 [0.947612,0.947612]
area_under_roc_curve
0.9320520581113801 [0.932052,0.932052]
area_under_roc_curve
0.9311278536838463 [0.931128,0.931128]
area_under_roc_curve
0.9372513836042893 [0.937251,0.937251]
area_under_roc_curve
0.9410058514931396 [0.941006,0.941006]
area_under_roc_curve
0.9253113602593545 [0.925311,0.925311]
area_under_roc_curve
0.9290197667612228 [0.92902,0.92902]
area_under_roc_curve
0.929307938223243 [0.929308,0.929308]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.8660190797939096 [0.881797,0.846626]
f_measure
0.8679861464770117 [0.883776,0.848578]
f_measure
0.8701451113119252 [0.884798,0.852134]
f_measure
0.8461385821135442 [0.866628,0.820954]
f_measure
0.8630904403780951 [0.880562,0.841615]
f_measure
0.8577381678675374 [0.871609,0.840688]
f_measure
0.8577214380399812 [0.875878,0.835404]
f_measure
0.8441482222001614 [0.860896,0.823618]
f_measure
0.8524978264525187 [0.870436,0.830508]
f_measure
0.8593252874549285 [0.87574,0.839204]
kappa
0.7286192553515267
kappa
0.732578054628725
kappa
0.7370541143088772
kappa
0.6881816215115615
kappa
0.7225724453482462
kappa
0.7123038664966737
kappa
0.7116929334011184
kappa
0.6846030813717074
kappa
0.7012565788638758
kappa
0.715149813921059
kb_relative_information_score
0.5519270724793236
kb_relative_information_score
0.5359060105437011
kb_relative_information_score
0.5505730516736291
kb_relative_information_score
0.5241224855027009
kb_relative_information_score
0.5306703815895548
kb_relative_information_score
0.5388759979680704
kb_relative_information_score
0.5400357925496572
kb_relative_information_score
0.522434960343808
kb_relative_information_score
0.5291053202728503
kb_relative_information_score
0.531048516239036
mean_absolute_error
0.2401703756782959
mean_absolute_error
0.24883784829192304
mean_absolute_error
0.24107166661546972
mean_absolute_error
0.2528637324071431
mean_absolute_error
0.2505256091330765
mean_absolute_error
0.24602856795105738
mean_absolute_error
0.24615533473710144
mean_absolute_error
0.2533080567913941
mean_absolute_error
0.2503960698605401
mean_absolute_error
0.2505929537193425
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
precision
0.866808700957256 [0.861432,0.873418]
precision
0.8689412207202619 [0.86191,0.877583]
precision
0.8706037731738665 [0.868298,0.873437]
precision
0.8484265795078894 [0.835017,0.864909]
precision
0.8648375804584082 [0.852608,0.87987]
precision
0.85770371109585 [0.867947,0.845113]
precision
0.8594239168337966 [0.848073,0.873377]
precision
0.8443135994446238 [0.848235,0.839506]
precision
0.8536467941218303 [0.846506,0.8624]
precision
0.8600861807713838 [0.855491,0.865719]
predictive_accuracy
0.8664886515353806
predictive_accuracy
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predictive_accuracy
0.8704939919893191
predictive_accuracy
0.8471295060080106
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.8598130841121495
prior_entropy
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prior_entropy
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prior_entropy
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.48727237534729523
relative_absolute_error
0.5111073949878471
relative_absolute_error
0.5063814025159631
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.5060496541572238
relative_absolute_error
0.5064475558044484
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
0
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0
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total_cost
0
total_cost
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total_cost
0
unweighted_recall
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unweighted_recall
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unweighted_recall
0.8668911420500404 [0.901937,0.831845]
unweighted_recall
0.840988196125908 [0.900726,0.78125]
unweighted_recall
0.858479620661824 [0.910412,0.806548]
unweighted_recall
0.8558060936238903 [0.875303,0.83631]
unweighted_recall
0.8530821226795804 [0.905569,0.800595]
unweighted_recall
0.8411301724526092 [0.873939,0.808321]
unweighted_recall
0.8483245531090999 [0.895758,0.800892]
unweighted_recall
0.855617092169841 [0.89697,0.814264]
usercpu_time_millis
3952.7683569995133
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
11.119669999970938
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
10.409696000351687
usercpu_time_millis_training
3942.2629629998482
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
4020.301580429077
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
10.59269905090332
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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weighted_recall
0.8664886515353805 [0.903148,0.821429]
weighted_recall
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weighted_recall
0.8704939919893191 [0.901937,0.831845]
weighted_recall
0.8471295060080107 [0.900726,0.78125]
weighted_recall
0.8638184245660881 [0.910412,0.806548]
weighted_recall
0.8578104138851802 [0.875303,0.83631]
weighted_recall
0.8584779706275033 [0.905569,0.800595]
weighted_recall
0.8444592790387183 [0.873939,0.808321]
weighted_recall
0.8531375166889186 [0.895758,0.800892]
weighted_recall
0.8598130841121495 [0.89697,0.814264]