10586170
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)
8302452
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
0.16783291782896104
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1216
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
10
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
10
19040
random_state
54147
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.33566592973222237
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
22098608
description
https://api.openml.org/data/download/22098608/description.xml
-1
22098609
predictions
https://api.openml.org/data/download/22098609/predictions.arff
area_under_roc_curve
0.9176564875536127 [0.917656,0.917656]
average_cost
0
f_measure
0.8349794204809401 [0.856291,0.808805]
kappa
0.6656254919129801
kb_relative_information_score
0.4631404966947465
mean_absolute_error
0.28518336812222983
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8359145527369827 [0.886884,0.773315]
number_of_instances
14980 [8257,6723]
precision
0.8367011234970594 [0.827738,0.847709]
predictive_accuracy
0.8359145527369826
prior_entropy
0.9924223735239917
relative_absolute_error
0.5764104088205728
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.3489149112644817
root_relative_squared_error
0.701517719554382
total_cost
0
unweighted_recall
0.8300996701404679 [0.886884,0.773315]
area_under_roc_curve
0.9255628098697107 [0.925563,0.925563]
area_under_roc_curve
0.9119267410353972 [0.911927,0.911927]
area_under_roc_curve
0.9261050818632537 [0.926105,0.926105]
area_under_roc_curve
0.9136256197394211 [0.913626,0.913626]
area_under_roc_curve
0.9172737951112648 [0.917274,0.917274]
area_under_roc_curve
0.9198500374726162 [0.91985,0.91985]
area_under_roc_curve
0.9257988152888273 [0.925799,0.925799]
area_under_roc_curve
0.9155963798460083 [0.915596,0.915596]
area_under_roc_curve
0.9125534693142419 [0.912553,0.912553]
area_under_roc_curve
0.9107100724931334 [0.91071,0.91071]
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
0.8406796232805057 [0.862289,0.814118]
f_measure
0.8309571849080071 [0.852113,0.804954]
f_measure
0.8443364037534019 [0.864009,0.820155]
f_measure
0.8292743025061337 [0.852326,0.80094]
f_measure
0.8363729766580527 [0.859781,0.807601]
f_measure
0.838732581896539 [0.856633,0.81673]
f_measure
0.8411094739585739 [0.863741,0.813291]
f_measure
0.8229973917430222 [0.844523,0.79661]
f_measure
0.8310951202802669 [0.854661,0.802206]
f_measure
0.8340048794417317 [0.852556,0.811263]
kappa
0.6771076053325185
kappa
0.6574869163152278
kappa
0.6845823486061345
kappa
0.6539950094209909
kappa
0.6683757413430267
kappa
0.6734872177975866
kappa
0.6779738828810447
kappa
0.6415078946366509
kappa
0.6577935209775507
kappa
0.6639754844941959
kb_relative_information_score
0.4696487974881382
kb_relative_information_score
0.4516861391504567
kb_relative_information_score
0.4675019820900551
kb_relative_information_score
0.4519934685311045
kb_relative_information_score
0.4599312159253676
kb_relative_information_score
0.46378606763511887
kb_relative_information_score
0.4709690428331623
kb_relative_information_score
0.4677669534115764
kb_relative_information_score
0.4659885251951041
kb_relative_information_score
0.4621314852436633
mean_absolute_error
0.2831598274382931
mean_absolute_error
0.29030485286940394
mean_absolute_error
0.28350594589502826
mean_absolute_error
0.2899628308892649
mean_absolute_error
0.28664040406644564
mean_absolute_error
0.2850815265688777
mean_absolute_error
0.28242393656128306
mean_absolute_error
0.28180730291121403
mean_absolute_error
0.28303821896818737
mean_absolute_error
0.2859088350542949
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
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mean_prior_absolute_error
0.49480533738838384
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
0.8432467225819423 [0.82905,0.860697]
precision
0.8321863692457506 [0.826879,0.83871]
precision
0.8457932583250158 [0.8375,0.855987]
precision
0.8316260923469219 [0.819911,0.846026]
precision
0.8400306758012712 [0.821389,0.862944]
precision
0.8389841334925519 [0.842105,0.835148]
precision
0.8447335743244636 [0.825607,0.868243]
precision
0.8239538849049591 [0.821306,0.8272]
precision
0.8342857590881803 [0.818182,0.854027]
precision
0.8343364234045131 [0.836639,0.831513]
predictive_accuracy
0.8417890520694259
predictive_accuracy
0.8317757009345794
predictive_accuracy
0.8451268357810414
predictive_accuracy
0.8304405874499332
predictive_accuracy
0.8377837116154874
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.8324432576769025
predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
prior_entropy
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relative_absolute_error
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relative_absolute_error
0.5867862333990439
relative_absolute_error
0.573043765867786
relative_absolute_error
0.5860949125772188
relative_absolute_error
0.5793793709600655
relative_absolute_error
0.5762284492786428
relative_absolute_error
0.570856726363708
relative_absolute_error
0.5695316554154651
relative_absolute_error
0.5720193328190077
relative_absolute_error
0.5778208387228423
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_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
0.34852040126749395
root_mean_squared_error
0.3519210453452391
root_mean_squared_error
0.3515993128273016
root_relative_squared_error
0.6902935496904113
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
total_cost
0
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0
total_cost
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.8353132566585957 [0.898305,0.772321]
unweighted_recall
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unweighted_recall
0.8397270984665053 [0.892252,0.787202]
unweighted_recall
0.8239129338175948 [0.887409,0.760417]
unweighted_recall
0.830432808716707 [0.901937,0.758929]
unweighted_recall
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unweighted_recall
0.8352249798224374 [0.905569,0.764881]
unweighted_recall
0.8186464946643253 [0.869091,0.768202]
unweighted_recall
0.8254302309874375 [0.894545,0.756315]
unweighted_recall
0.8305335674726462 [0.869091,0.791976]
usercpu_time_millis
3253.214458000002
usercpu_time_millis
3273.182739000731
usercpu_time_millis
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usercpu_time_millis
3278.392426999744
usercpu_time_millis
3264.4353699997737
usercpu_time_millis
3270.2424239996617
usercpu_time_millis
3258.250340999439
usercpu_time_millis
3272.2326209996027
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
10.533364999901096
usercpu_time_millis_testing
10.476443999323237
usercpu_time_millis_testing
10.486281999874336
usercpu_time_millis_testing
10.312377999980527
usercpu_time_millis_testing
11.390836999453313
usercpu_time_millis_testing
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usercpu_time_millis_testing
10.820102000252518
usercpu_time_millis_training
3242.7661259998786
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
3271.909652999966
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
3331.570625305176
wall_clock_time_millis
3342.4456119537354
wall_clock_time_millis
3329.3113708496094
wall_clock_time_millis_testing
10.555267333984375
wall_clock_time_millis_testing
10.200977325439453
wall_clock_time_millis_testing
10.24174690246582
wall_clock_time_millis_testing
13.4124755859375
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_testing
11.43193244934082
wall_clock_time_millis_testing
10.045766830444336
wall_clock_time_millis_testing
10.824918746948242
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3318.5579776763916
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
3320.138692855835
wall_clock_time_millis_training
3332.399845123291
wall_clock_time_millis_training
3318.486452102661
weighted_recall
0.8417890520694259 [0.898305,0.772321]
weighted_recall
0.8317757009345794 [0.878935,0.77381]
weighted_recall
0.8451268357810414 [0.892252,0.787202]
weighted_recall
0.8304405874499332 [0.887409,0.760417]
weighted_recall
0.8377837116154874 [0.901937,0.758929]
weighted_recall
0.8391188251001335 [0.871671,0.799107]
weighted_recall
0.842456608811749 [0.905569,0.764881]
weighted_recall
0.8237650200267023 [0.869091,0.768202]
weighted_recall
0.8324432576769025 [0.894545,0.756315]
weighted_recall
0.8344459279038718 [0.869091,0.791976]