10586175
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)
8302457
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
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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
"mean"
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
0.5973381031694602
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1608
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
6
19040
random_state
36834
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.19567657353756035
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
22098618
description
https://api.openml.org/data/download/22098618/description.xml
-1
22098619
predictions
https://api.openml.org/data/download/22098619/predictions.arff
area_under_roc_curve
0.9549590356545925 [0.954959,0.954959]
average_cost
0
f_measure
0.8859678069188713 [0.897734,0.871517]
kappa
0.7692802776594351
kb_relative_information_score
0.6560200480745441
mean_absolute_error
0.18285941285081758
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8861148197596795 [0.906867,0.860628]
number_of_instances
14980 [8257,6723]
precision
0.8860464263822609 [0.888783,0.882685]
predictive_accuracy
0.8861148197596797
prior_entropy
0.9924223735239917
relative_absolute_error
0.36959402510757305
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2885615096960984
root_relative_squared_error
0.5801730040701284
total_cost
0
unweighted_recall
0.883747298390247 [0.906867,0.860628]
area_under_roc_curve
0.9594394961374382 [0.959439,0.959439]
area_under_roc_curve
0.9520296466044044 [0.95203,0.95203]
area_under_roc_curve
0.9605654761904762 [0.960565,0.960565]
area_under_roc_curve
0.95416270321688 [0.954163,0.954163]
area_under_roc_curve
0.9598970944309928 [0.959897,0.959897]
area_under_roc_curve
0.9566830969676006 [0.956683,0.956683]
area_under_roc_curve
0.960983439986164 [0.960983,0.960983]
area_under_roc_curve
0.9488765815660318 [0.948877,0.948877]
area_under_roc_curve
0.9510036471700661 [0.951004,0.951004]
area_under_roc_curve
0.9464388311045072 [0.946439,0.946439]
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
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0
f_measure
0.9009738753325948 [0.911905,0.887538]
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0.8823253180527341 [0.894737,0.867069]
f_measure
0.8884943649010425 [0.899094,0.875466]
f_measure
0.8881611339230086 [0.901125,0.872226]
f_measure
0.8916065392154078 [0.903571,0.8769]
f_measure
0.8811410575458074 [0.892512,0.867164]
f_measure
0.8891036110879408 [0.90012,0.875562]
f_measure
0.8725223143519588 [0.884032,0.858414]
f_measure
0.8844009357251496 [0.895971,0.870218]
f_measure
0.8809041106543725 [0.893921,0.864947]
kappa
0.7995138502050946
kappa
0.7618493601092621
kappa
0.774560639895033
kappa
0.7734918683213122
kappa
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kappa
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kappa
0.7756926729472382
kappa
0.7424462555787799
kappa
0.7662065145416129
kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.6668742294266159
kb_relative_information_score
0.6461258478467414
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.6672455162123859
kb_relative_information_score
0.6387454697280021
kb_relative_information_score
0.6475534726401447
kb_relative_information_score
0.6508308689001151
mean_absolute_error
0.1752889197429681
mean_absolute_error
0.18542355233005545
mean_absolute_error
0.17726668642437696
mean_absolute_error
0.18874279723890017
mean_absolute_error
0.17920484512695348
mean_absolute_error
0.1819047715208255
mean_absolute_error
0.17756025111235194
mean_absolute_error
0.19065269300196633
mean_absolute_error
0.18727619814036367
mean_absolute_error
0.18527341386941254
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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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]
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1498 [826,672]
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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
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number_of_instances
1498 [825,673]
precision
0.9013862151198033 [0.896956,0.906832]
precision
0.8824593770581887 [0.884161,0.880368]
precision
0.8884778948684958 [0.897467,0.877429]
precision
0.8889090223356478 [0.881808,0.897638]
precision
0.891990461028104 [0.888759,0.895963]
precision
0.8811198906095027 [0.890361,0.86976]
precision
0.8891017248630231 [0.894737,0.882175]
precision
0.8725550118019696 [0.885645,0.856509]
precision
0.8844238739572534 [0.889021,0.878788]
precision
0.8812584741340738 [0.87925,0.883721]
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
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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_squared_error
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root_mean_squared_error
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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
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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
0.8713755684632356 [0.882424,0.860327]
unweighted_recall
0.882421540816786 [0.90303,0.861813]
unweighted_recall
0.8780224233418884 [0.909091,0.846954]
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_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
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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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weighted_recall
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weighted_recall
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weighted_recall
0.8885180240320427 [0.900726,0.873512]
weighted_recall
0.8885180240320427 [0.921308,0.848214]
weighted_recall
0.8918558077436582 [0.918886,0.858631]
weighted_recall
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weighted_recall
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weighted_recall
0.8724966622162884 [0.882424,0.860327]
weighted_recall
0.8845126835781041 [0.90303,0.861813]
weighted_recall
0.8811748998664887 [0.909091,0.846954]