10586285
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)
8302567
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
"most_frequent"
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
0.8338931524841572
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1830
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
50
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
5
19040
random_state
18698
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3772883957379279
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
22098838
description
https://api.openml.org/data/download/22098838/description.xml
-1
22098839
predictions
https://api.openml.org/data/download/22098839/predictions.arff
area_under_roc_curve
0.9518046799085693 [0.951805,0.951805]
average_cost
0
f_measure
0.8795849533460506 [0.891759,0.864633]
kappa
0.7564119193345243
kb_relative_information_score
0.6782696427356849
mean_absolute_error
0.16847954814004248
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8797062750333778 [0.898995,0.856017]
number_of_instances
14980 [8257,6723]
precision
0.8796059727507897 [0.884638,0.873425]
predictive_accuracy
0.8797062750333778
prior_entropy
0.9924223735239917
relative_absolute_error
0.3405295542329256
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2926398867046084
root_relative_squared_error
0.5883728649706683
total_cost
0
unweighted_recall
0.8775057257634776 [0.898995,0.856017]
area_under_roc_curve
0.9571424968292401 [0.957142,0.957142]
area_under_roc_curve
0.952036852876744 [0.952037,0.952037]
area_under_roc_curve
0.9617833362158423 [0.961783,0.961783]
area_under_roc_curve
0.9510910296321918 [0.951091,0.951091]
area_under_roc_curve
0.9541068546062492 [0.954107,0.954107]
area_under_roc_curve
0.9589278508013374 [0.958928,0.958928]
area_under_roc_curve
0.9597268462469732 [0.959727,0.959727]
area_under_roc_curve
0.9479652393173938 [0.947965,0.947965]
area_under_roc_curve
0.9300535818812193 [0.930054,0.930054]
area_under_roc_curve
0.9439758656400559 [0.943976,0.943976]
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
0.8850197098086147 [0.897006,0.870287]
f_measure
0.8784148025181039 [0.890493,0.863568]
f_measure
0.8951862738214922 [0.905021,0.883098]
f_measure
0.8769546504886888 [0.890084,0.860817]
f_measure
0.8888648769233021 [0.901542,0.873282]
f_measure
0.8843611000322175 [0.896345,0.869631]
f_measure
0.8924687559937724 [0.902954,0.879581]
f_measure
0.8717743493596047 [0.884058,0.856716]
f_measure
0.8551693309653147 [0.868245,0.83914]
f_measure
0.8675952045882558 [0.881579,0.850453]
kappa
0.7673266074995574
kappa
0.7540726896168515
kappa
0.788118811881188
kappa
0.7509550433880638
kappa
0.7749423481412028
kappa
0.7660063962381017
kappa
0.7825395422815234
kappa
0.740778594333858
kappa
0.7073865835633258
kappa
0.7320906941160106
kb_relative_information_score
0.6902022429690328
kb_relative_information_score
0.6841292125439538
kb_relative_information_score
0.7004619937733975
kb_relative_information_score
0.6805165227606135
kb_relative_information_score
0.6942419368425833
kb_relative_information_score
0.7053344839473364
kb_relative_information_score
0.6966604115634248
kb_relative_information_score
0.6720604254567725
kb_relative_information_score
0.610007220198927
kb_relative_information_score
0.6491026465184614
mean_absolute_error
0.16281830917979337
mean_absolute_error
0.16478563128996304
mean_absolute_error
0.1582418467580179
mean_absolute_error
0.16664737791042913
mean_absolute_error
0.1607336782714148
mean_absolute_error
0.15346261881864545
mean_absolute_error
0.15969855277864461
mean_absolute_error
0.17063769507028376
mean_absolute_error
0.20406068907801206
mean_absolute_error
0.18370908224521446
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
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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]
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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
0.885118024229416 [0.887441,0.882263]
precision
0.8784040265041805 [0.885167,0.870091]
precision
0.8951797607384882 [0.904474,0.883756]
precision
0.8771232519023914 [0.878538,0.875385]
precision
0.8894768003957162 [0.883721,0.896552]
precision
0.8844401532083015 [0.887307,0.880916]
precision
0.8924535087030385 [0.89916,0.884211]
precision
0.8717478102369144 [0.880866,0.86057]
precision
0.8552053769903659 [0.86983,0.837278]
precision
0.8677458321284498 [0.87013,0.864823]
predictive_accuracy
0.8851802403204272
predictive_accuracy
0.8785046728971964
predictive_accuracy
0.8951935914552738
predictive_accuracy
0.87716955941255
predictive_accuracy
0.8891855807743658
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.8551401869158879
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
0.31985044792557166
relative_absolute_error
0.336840346357826
relative_absolute_error
0.3248871271734689
relative_absolute_error
0.31019030916667395
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.41240599819528667
relative_absolute_error
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root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
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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
0.32183265482671547
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
total_cost
0
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total_cost
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0
total_cost
0
total_cost
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total_cost
0
total_cost
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total_cost
0
unweighted_recall
0.8827053066989508 [0.90678,0.858631]
unweighted_recall
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unweighted_recall
0.8940047417271993 [0.905569,0.88244]
unweighted_recall
0.8743316182405165 [0.901937,0.846726]
unweighted_recall
0.8856436642453591 [0.920097,0.85119]
unweighted_recall
0.8820999798224374 [0.905569,0.858631]
unweighted_recall
0.8908898305084746 [0.90678,0.875]
unweighted_recall
0.8700851006348778 [0.887273,0.852897]
unweighted_recall
0.853838533927687 [0.866667,0.84101]
unweighted_recall
0.8649430411094601 [0.893333,0.836553]
usercpu_time_millis
3049.1231649994006
usercpu_time_millis
3047.9967100000067
usercpu_time_millis
3035.5707130001974
usercpu_time_millis
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usercpu_time_millis
3032.2395730008793
usercpu_time_millis
3037.5384899998608
usercpu_time_millis
3040.780686999824
usercpu_time_millis
3048.0721739995715
usercpu_time_millis
1722.9808259990023
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
10.343625000132306
usercpu_time_millis_testing
10.476797000592342
usercpu_time_millis_testing
10.166350000872626
usercpu_time_millis_testing
10.521016999518906
usercpu_time_millis_testing
10.196322000410873
usercpu_time_millis_testing
10.521942999730527
usercpu_time_millis_testing
8.551592999538116
usercpu_time_millis_testing
5.931185000008554
usercpu_time_millis_training
3038.6719399994035
usercpu_time_millis_training
3036.883443000079
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
3037.550230999841
usercpu_time_millis_training
1714.4292329994641
usercpu_time_millis_training
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wall_clock_time_millis
3128.8421154022217
wall_clock_time_millis
3089.6315574645996
wall_clock_time_millis
3086.9128704071045
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
3101.376533508301
wall_clock_time_millis
3097.6603031158447
wall_clock_time_millis
1766.6234970092773
wall_clock_time_millis
1998.9118576049805
wall_clock_time_millis_testing
17.94719696044922
wall_clock_time_millis_testing
11.204004287719727
wall_clock_time_millis_testing
10.352849960327148
wall_clock_time_millis_testing
10.486364364624023
wall_clock_time_millis_testing
10.253190994262695
wall_clock_time_millis_testing
10.532855987548828
wall_clock_time_millis_testing
10.280609130859375
wall_clock_time_millis_testing
10.533332824707031
wall_clock_time_millis_testing
8.654594421386719
wall_clock_time_millis_testing
5.934476852416992
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
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wall_clock_time_millis_training
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wall_clock_time_millis_training
3087.1269702911377
wall_clock_time_millis_training
1757.9689025878906
wall_clock_time_millis_training
1992.9773807525635
weighted_recall
0.8851802403204272 [0.90678,0.858631]
weighted_recall
0.8785046728971962 [0.895884,0.857143]
weighted_recall
0.8951935914552737 [0.905569,0.88244]
weighted_recall
0.87716955941255 [0.901937,0.846726]
weighted_recall
0.8891855807743658 [0.920097,0.85119]
weighted_recall
0.8845126835781041 [0.905569,0.858631]
weighted_recall
0.8925233644859814 [0.90678,0.875]
weighted_recall
0.8718291054739653 [0.887273,0.852897]
weighted_recall
0.8551401869158879 [0.866667,0.84101]
weighted_recall
0.8678237650200267 [0.893333,0.836553]