10586192
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)
8302474
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
"median"
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
0.5416736064988655
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
393
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
96
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
4
19040
random_state
40920
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3878603382051125
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
22098652
description
https://api.openml.org/data/download/22098652/description.xml
-1
22098653
predictions
https://api.openml.org/data/download/22098653/predictions.arff
area_under_roc_curve
0.9450920633808902 [0.945092,0.945092]
average_cost
0
f_measure
0.8708735001856843 [0.884585,0.854033]
kappa
0.7386739039354546
kb_relative_information_score
0.6184202517075703
mean_absolute_error
0.20225650051280092
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8710947930574099 [0.896209,0.84025]
number_of_instances
14980 [8257,6723]
precision
0.8710225957438565 [0.873259,0.868275]
predictive_accuracy
0.8710947930574099
prior_entropy
0.9924223735239917
relative_absolute_error
0.40879926804579464
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.30473309555344047
root_relative_squared_error
0.6126871032558211
total_cost
0
unweighted_recall
0.8682295827098849 [0.896209,0.84025]
area_under_roc_curve
0.9480571889772859 [0.948057,0.948057]
area_under_roc_curve
0.9488174507090972 [0.948817,0.948817]
area_under_roc_curve
0.9552499495560937 [0.95525,0.95525]
area_under_roc_curve
0.9411742981090742 [0.941174,0.941174]
area_under_roc_curve
0.9429209183673469 [0.942921,0.942921]
area_under_roc_curve
0.9442288567969561 [0.944229,0.944229]
area_under_roc_curve
0.9492155972558516 [0.949216,0.949216]
area_under_roc_curve
0.9388536179026521 [0.938854,0.938854]
area_under_roc_curve
0.9408221892025754 [0.940822,0.940822]
area_under_roc_curve
0.9428574001530912 [0.942857,0.942857]
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
0.8753977442083359 [0.890071,0.857362]
f_measure
0.8731815804235297 [0.884848,0.858841]
f_measure
0.8778285866836503 [0.889292,0.863738]
f_measure
0.8654191565188669 [0.880854,0.846448]
f_measure
0.8746031894526183 [0.890065,0.855598]
f_measure
0.8544096541443864 [0.868516,0.83707]
f_measure
0.8753161514522753 [0.890459,0.856703]
f_measure
0.8678416145807271 [0.879854,0.853116]
f_measure
0.8681791493543108 [0.882668,0.850418]
f_measure
0.8763624059059294 [0.888889,0.861007]
kappa
0.7476159074769199
kappa
0.7436899568824227
kappa
0.7530302074793466
kappa
0.7274524464269873
kappa
0.7459400434247113
kappa
0.7055913164205478
kappa
0.7474044929559588
kappa
0.7329705767433653
kappa
0.7331873473159247
kappa
0.749921040995515
kb_relative_information_score
0.6260398941510728
kb_relative_information_score
0.6205647792107097
kb_relative_information_score
0.6331942676114237
kb_relative_information_score
0.6057981146575863
kb_relative_information_score
0.6169625839434024
kb_relative_information_score
0.6080775362437238
kb_relative_information_score
0.6255336646111231
kb_relative_information_score
0.6132648579906504
kb_relative_information_score
0.610963389718987
kb_relative_information_score
0.6238048703850841
mean_absolute_error
0.19892838429178758
mean_absolute_error
0.2013046142708779
mean_absolute_error
0.195695502587137
mean_absolute_error
0.20834347965539432
mean_absolute_error
0.20292615576248263
mean_absolute_error
0.20652097791836024
mean_absolute_error
0.19888580800403932
mean_absolute_error
0.20468354044927176
mean_absolute_error
0.2055486214020727
mean_absolute_error
0.1997279207865848
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
0.494736986564547
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
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mean_prior_absolute_error
0.49480533738838384
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
0.8762344101292051 [0.869515,0.884494]
precision
0.8732020768551649 [0.885922,0.857567]
precision
0.8778208457848181 [0.888755,0.864382]
precision
0.8659788440634446 [0.86295,0.869702]
precision
0.8759552962001769 [0.865143,0.889246]
precision
0.8543743240004923 [0.865385,0.840841]
precision
0.8764856449178868 [0.866972,0.888179]
precision
0.8678625789037889 [0.880923,0.851852]
precision
0.8685277889441292 [0.867681,0.869565]
precision
0.8764005502777766 [0.880952,0.870821]
predictive_accuracy
0.8758344459279038
predictive_accuracy
0.8731642189586115
predictive_accuracy
0.8778371161548733
predictive_accuracy
0.8658210947930575
predictive_accuracy
0.8751668891855807
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
0.8765020026702269
prior_entropy
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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
0.3955546237730199
relative_absolute_error
0.4211196763398087
relative_absolute_error
0.4101697695407849
relative_absolute_error
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relative_absolute_error
0.4020031115625741
relative_absolute_error
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relative_absolute_error
0.41541310465035053
relative_absolute_error
0.4036494873736858
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_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_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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root_relative_squared_error
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total_cost
0
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total_cost
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total_cost
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total_cost
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total_cost
0
total_cost
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total_cost
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unweighted_recall
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unweighted_recall
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unweighted_recall
0.8764628732849071 [0.889831,0.863095]
unweighted_recall
0.8619602502017756 [0.899516,0.824405]
unweighted_recall
0.870434826472962 [0.916465,0.824405]
unweighted_recall
0.852502017756255 [0.871671,0.833333]
unweighted_recall
0.871317594834544 [0.915254,0.827381]
unweighted_recall
0.8665856184429735 [0.878788,0.854383]
unweighted_recall
0.8651384573821423 [0.898182,0.832095]
unweighted_recall
0.8741906434328426 [0.89697,0.851412]
usercpu_time_millis
2967.63538399955
usercpu_time_millis
2982.031422999171
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
2994.608209999569
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
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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
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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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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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
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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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
10.72239875793457
wall_clock_time_millis_testing
10.41412353515625
wall_clock_time_millis_testing
11.487722396850586
wall_clock_time_millis_testing
10.058164596557617
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
10.439157485961914
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
0.8758344459279038 [0.911622,0.831845]
weighted_recall
0.8731642189586115 [0.883777,0.860119]
weighted_recall
0.8778371161548731 [0.889831,0.863095]
weighted_recall
0.8658210947930574 [0.899516,0.824405]
weighted_recall
0.8751668891855807 [0.916465,0.824405]
weighted_recall
0.8544726301735648 [0.871671,0.833333]
weighted_recall
0.8758344459279038 [0.915254,0.827381]
weighted_recall
0.8678237650200267 [0.878788,0.854383]
weighted_recall
0.8684913217623498 [0.898182,0.832095]
weighted_recall
0.8765020026702269 [0.89697,0.851412]