10586233
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)
8302515
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
0.15994303674001836
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
917
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
55
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
15
19040
random_state
21918
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.050559252111274704
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
22098734
description
https://api.openml.org/data/download/22098734/description.xml
-1
22098735
predictions
https://api.openml.org/data/download/22098735/predictions.arff
area_under_roc_curve
0.916364447198453 [0.916364,0.916364]
average_cost
0
f_measure
0.8343935882909782 [0.855689,0.808239]
kappa
0.6644432452410358
kb_relative_information_score
0.4559411225164473
mean_absolute_error
0.28903797145211996
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8353137516688919 [0.885794,0.773315]
number_of_instances
14980 [8257,6723]
precision
0.8360469500822966 [0.827563,0.846467]
predictive_accuracy
0.8353137516688919
prior_entropy
0.9924223735239917
relative_absolute_error
0.5842013031348262
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.3507336216932336
root_relative_squared_error
0.7051743634848006
total_cost
0
unweighted_recall
0.8295546780125764 [0.885794,0.773315]
area_under_roc_curve
0.9274886861524271 [0.927489,0.927489]
area_under_roc_curve
0.9161334025135478 [0.916133,0.916133]
area_under_roc_curve
0.9220659662169953 [0.922066,0.922066]
area_under_roc_curve
0.9132040528075637 [0.913204,0.913204]
area_under_roc_curve
0.9157784936008303 [0.915778,0.915778]
area_under_roc_curve
0.9232856278104461 [0.923286,0.923286]
area_under_roc_curve
0.9270815317652484 [0.927082,0.927082]
area_under_roc_curve
0.902603449052186 [0.902603,0.902603]
area_under_roc_curve
0.9087631140528614 [0.908763,0.908763]
area_under_roc_curve
0.9101067134945292 [0.910107,0.910107]
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
0.846790512093264 [0.867288,0.821596]
f_measure
0.8287572203361989 [0.851138,0.801247]
f_measure
0.8384652735847217 [0.857985,0.814473]
f_measure
0.8278373996246627 [0.851508,0.798742]
f_measure
0.8323328032422019 [0.856319,0.80285]
f_measure
0.8387933480204187 [0.856291,0.817286]
f_measure
0.847753276770461 [0.869816,0.820635]
f_measure
0.8151518429633935 [0.836493,0.788991]
f_measure
0.834097282448218 [0.855809,0.807482]
f_measure
0.8337620261945776 [0.853774,0.809231]
kappa
0.6894998090874378
kappa
0.652972972972973
kappa
0.6727579599243664
kappa
0.6510751044532761
kappa
0.6601874880428544
kappa
0.6736690246896394
kappa
0.6914459245648955
kappa
0.6257284954656306
kappa
0.6638979574410878
kappa
0.6633274669266978
kb_relative_information_score
0.472362702687869
kb_relative_information_score
0.4546434537467646
kb_relative_information_score
0.462152669957038
kb_relative_information_score
0.44968353383881676
kb_relative_information_score
0.4487381354459986
kb_relative_information_score
0.46230904357993785
kb_relative_information_score
0.46380105958014534
kb_relative_information_score
0.44109304567369884
kb_relative_information_score
0.4524190851204104
kb_relative_information_score
0.4522129027254384
mean_absolute_error
0.2819894726588086
mean_absolute_error
0.2892298246344639
mean_absolute_error
0.2861639740393322
mean_absolute_error
0.29180774483442035
mean_absolute_error
0.2927380462423572
mean_absolute_error
0.2860310250799351
mean_absolute_error
0.28584670053113403
mean_absolute_error
0.29487104922816876
mean_absolute_error
0.2904695787277101
mean_absolute_error
0.2912322985448687
mean_prior_absolute_error
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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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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
0.8491688247237197 [0.835202,0.866337]
precision
0.830561892872868 [0.821871,0.841244]
precision
0.839355518610498 [0.835821,0.8437]
precision
0.8305134983244178 [0.817372,0.846667]
precision
0.8359297069725571 [0.818082,0.857868]
precision
0.8389412959890147 [0.843713,0.833076]
precision
0.85191244002993 [0.82967,0.879252]
precision
0.8156153765127592 [0.818076,0.812598]
precision
0.8361114701450996 [0.82545,0.84918]
precision
0.834681977225531 [0.831228,0.838915]
predictive_accuracy
0.8477970627503337
predictive_accuracy
0.8297730307076101
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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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
0.5898239928668624
relative_absolute_error
0.5917043887806526
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
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
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_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
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
0.8263846852300243 [0.898305,0.754464]
unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
0.8290864064118151 [0.888485,0.769688]
unweighted_recall
0.82957539736143 [0.877576,0.781575]
usercpu_time_millis
4474.967271999958
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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_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_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
9.905099868774414
wall_clock_time_millis_testing
22.856473922729492
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
0.8477970627503337 [0.901937,0.78125]
weighted_recall
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weighted_recall
0.8391188251001335 [0.881356,0.787202]
weighted_recall
0.829105473965287 [0.88862,0.755952]
weighted_recall
0.8337783711615487 [0.898305,0.754464]
weighted_recall
0.8391188251001335 [0.869249,0.802083]
weighted_recall
0.8491321762349799 [0.914044,0.769345]
weighted_recall
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weighted_recall
0.835113484646195 [0.888485,0.769688]
weighted_recall
0.8344459279038718 [0.877576,0.781575]