10586180
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)
8302462
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
0.6283426785199991
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
292
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
16
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
11
19040
random_state
62839
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.04126680773177305
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
22098628
description
https://api.openml.org/data/download/22098628/description.xml
-1
22098629
predictions
https://api.openml.org/data/download/22098629/predictions.arff
area_under_roc_curve
0.9555825065768436 [0.955583,0.955583]
average_cost
0
f_measure
0.8867407274521307 [0.898636,0.872132]
kappa
0.7708079370382322
kb_relative_information_score
0.6631423205101784
mean_absolute_error
0.17894660195972392
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8869158878504673 [0.90941,0.859289]
number_of_instances
14980 [8257,6723]
precision
0.8868795452332142 [0.888114,0.885364]
predictive_accuracy
0.8869158878504674
prior_entropy
0.9924223735239917
relative_absolute_error
0.36168548212267426
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2873584161676254
root_relative_squared_error
0.5777541007752067
total_cost
0
unweighted_recall
0.8843496026458225 [0.90941,0.859289]
area_under_roc_curve
0.9593926553672317 [0.959393,0.959393]
area_under_roc_curve
0.9501974518621009 [0.950197,0.950197]
area_under_roc_curve
0.9634155569007263 [0.963416,0.963416]
area_under_roc_curve
0.954591476421077 [0.954591,0.954591]
area_under_roc_curve
0.954591476421077 [0.954591,0.954591]
area_under_roc_curve
0.9571370921249855 [0.957137,0.957137]
area_under_roc_curve
0.9616103856796957 [0.96161,0.96161]
area_under_roc_curve
0.9442460263856995 [0.944246,0.944246]
area_under_roc_curve
0.9561970372371561 [0.956197,0.956197]
area_under_roc_curve
0.954461704714305 [0.954462,0.954462]
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
0.8949008118718224 [0.906825,0.880244]
f_measure
0.8708271765984905 [0.885324,0.853008]
f_measure
0.9051368239426966 [0.914561,0.893553]
f_measure
0.8836625303475896 [0.895933,0.86858]
f_measure
0.8793382110828472 [0.893993,0.861325]
f_measure
0.8845804804164596 [0.894705,0.872136]
f_measure
0.9044301559299541 [0.914217,0.8924]
f_measure
0.8690833843045569 [0.881785,0.853513]
f_measure
0.892453153567427 [0.902954,0.879581]
f_measure
0.8828314448379784 [0.896142,0.866514]
kappa
0.7871739323223492
kappa
0.7384459502248116
kappa
0.8081226479428182
kappa
0.7645556173807477
kappa
0.7555527351186699
kappa
0.7668492978147238
kappa
0.8066370954493182
kappa
0.7353056253234214
kappa
0.7825426794411956
kappa
0.7627880882792071
kb_relative_information_score
0.6738279382111475
kb_relative_information_score
0.6400663728430176
kb_relative_information_score
0.6818333643390886
kb_relative_information_score
0.6531510191368375
kb_relative_information_score
0.6566684682283881
kb_relative_information_score
0.6695602163676787
kb_relative_information_score
0.6860406249242004
kb_relative_information_score
0.6392737771284369
kb_relative_information_score
0.6666348160284429
kb_relative_information_score
0.6643704266738223
mean_absolute_error
0.17411113176519225
mean_absolute_error
0.18975391447822093
mean_absolute_error
0.17084030025335042
mean_absolute_error
0.1834153122636173
mean_absolute_error
0.1821376009477552
mean_absolute_error
0.17520267611600376
mean_absolute_error
0.16881149330454928
mean_absolute_error
0.1893807513455217
mean_absolute_error
0.17757160203694092
mean_absolute_error
0.17824123708608205
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
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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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]
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1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
precision
0.8954924663652897 [0.889406,0.902973]
precision
0.8712510181559728 [0.869312,0.873635]
precision
0.9051482724012865 [0.909091,0.900302]
precision
0.8837991862602496 [0.885343,0.881902]
precision
0.880532500995064 [0.870413,0.892971]
precision
0.8847125089440884 [0.899633,0.866373]
precision
0.9045045725275487 [0.906064,0.902588]
precision
0.8690579204065858 [0.877551,0.858647]
precision
0.8924480278405359 [0.898082,0.885542]
precision
0.8834667092270386 [0.877907,0.890282]
predictive_accuracy
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predictive_accuracy
0.8711615487316422
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
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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
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relative_absolute_error
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relative_absolute_error
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relative_absolute_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_relative_squared_error
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root_relative_squared_error
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total_cost
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
0.8812172114608555 [0.90678,0.855655]
unweighted_recall
0.8753657183212269 [0.918886,0.831845]
unweighted_recall
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unweighted_recall
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unweighted_recall
0.867250213877257 [0.886061,0.84844]
unweighted_recall
0.8907893196451888 [0.907879,0.8737]
unweighted_recall
0.8795668422711513 [0.915152,0.843982]
usercpu_time_millis
4589.888274999794
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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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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
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wall_clock_time_millis_testing
10.264873504638672
wall_clock_time_millis_testing
10.572195053100586
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
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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
0.8951935914552737 [0.924939,0.858631]
weighted_recall
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weighted_recall
0.9052069425901201 [0.920097,0.886905]
weighted_recall
0.8838451268357811 [0.90678,0.855655]
weighted_recall
0.8798397863818425 [0.918886,0.831845]
weighted_recall
0.8845126835781041 [0.889831,0.877976]
weighted_recall
0.904539385847797 [0.922518,0.88244]
weighted_recall
0.8691588785046729 [0.886061,0.84844]
weighted_recall
0.8925233644859814 [0.907879,0.8737]
weighted_recall
0.883177570093458 [0.915152,0.843982]