10586259
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)
8302541
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
"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
0.4023157093244864
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
347
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
179
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
7
19040
random_state
44398
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.20627279887000857
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
22098786
description
https://api.openml.org/data/download/22098786/description.xml
-1
22098787
predictions
https://api.openml.org/data/download/22098787/predictions.arff
area_under_roc_curve
0.9371331084838864 [0.937133,0.937133]
average_cost
0
f_measure
0.8623324217600906 [0.877712,0.843443]
kappa
0.7212744287601376
kb_relative_information_score
0.5641890438769327
mean_absolute_error
0.23215391400465338
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8626835781041389 [0.894029,0.824186]
number_of_instances
14980 [8257,6723]
precision
0.8627172253761777 [0.86198,0.863622]
predictive_accuracy
0.8626835781041389
prior_entropy
0.9924223735239917
relative_absolute_error
0.4692276880023548
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.3187801542989785
root_relative_squared_error
0.640929692779737
total_cost
0
unweighted_recall
0.8591074699400457 [0.894029,0.824186]
area_under_roc_curve
0.9414076011760636 [0.941408,0.941408]
area_under_roc_curve
0.9394736178369653 [0.939474,0.939474]
area_under_roc_curve
0.9501857416695492 [0.950186,0.950186]
area_under_roc_curve
0.934654423209962 [0.934654,0.934654]
area_under_roc_curve
0.9332167718782428 [0.933217,0.933217]
area_under_roc_curve
0.9369847515277298 [0.936985,0.936985]
area_under_roc_curve
0.9455313905223106 [0.945531,0.945531]
area_under_roc_curve
0.9318618578053942 [0.931862,0.931862]
area_under_roc_curve
0.9304065919221937 [0.930407,0.930407]
area_under_roc_curve
0.9289891485433832 [0.928989,0.928989]
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
0.8720617622733867 [0.887049,0.85364]
f_measure
0.8581517673683113 [0.87381,0.838906]
f_measure
0.878949924125543 [0.89194,0.862983]
f_measure
0.8551399407939172 [0.87309,0.833076]
f_measure
0.8492227561285667 [0.867257,0.827056]
f_measure
0.8624639815209209 [0.875453,0.846498]
f_measure
0.878681388044957 [0.893341,0.860662]
f_measure
0.8543434538484519 [0.868833,0.836582]
f_measure
0.8566152932913147 [0.873522,0.83589]
f_measure
0.8575518440315256 [0.872684,0.839002]
kappa
0.7408675364854755
kappa
0.7128171367802704
kappa
0.7549814657844465
kappa
0.7064993777461713
kappa
0.6945688441191022
kappa
0.7219517117844438
kappa
0.7542290072461009
kappa
0.7054335727287652
kappa
0.7096441698231808
kappa
0.7117549600073715
kb_relative_information_score
0.5741276738405908
kb_relative_information_score
0.5664399281455809
kb_relative_information_score
0.5834670171953307
kb_relative_information_score
0.5600769842250091
kb_relative_information_score
0.5530377707710009
kb_relative_information_score
0.5566078672349589
kb_relative_information_score
0.578582676777129
kb_relative_information_score
0.5535850049135549
kb_relative_information_score
0.5554384488858674
kb_relative_information_score
0.5605316561938417
mean_absolute_error
0.22799437281335042
mean_absolute_error
0.23092704849570833
mean_absolute_error
0.22337639951662958
mean_absolute_error
0.23322102467040126
mean_absolute_error
0.23703785094110455
mean_absolute_error
0.23592341402741643
mean_absolute_error
0.22640208722355434
mean_absolute_error
0.23646597791319465
mean_absolute_error
0.23644797523236424
mean_absolute_error
0.2337429892128185
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
0.49480533738838384
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
0.8728321139140784 [0.867052,0.879937]
precision
0.8584341964148919 [0.859485,0.857143]
precision
0.8791479032375181 [0.879859,0.878274]
precision
0.8564214275550338 [0.848174,0.866559]
precision
0.8500731803770754 [0.8458,0.855326]
precision
0.8624477504122351 [0.874396,0.847761]
precision
0.8798115716499694 [0.870264,0.891547]
precision
0.8543250009478403 [0.862605,0.844175]
precision
0.8574609110913872 [0.852364,0.863708]
precision
0.8577028926812914 [0.860849,0.853846]
predictive_accuracy
0.8724966622162884
predictive_accuracy
0.8584779706275033
predictive_accuracy
0.8791722296395195
predictive_accuracy
0.855807743658211
predictive_accuracy
0.8497997329773032
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
0.8578104138851802
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
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prior_entropy
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relative_absolute_error
0.4608395551675711
relative_absolute_error
0.46676730215637496
relative_absolute_error
0.4515053565486482
relative_absolute_error
0.47140406115558037
relative_absolute_error
0.4791189205138979
relative_absolute_error
0.47686633592056316
relative_absolute_error
0.45762110651093657
relative_absolute_error
0.4778969830060406
relative_absolute_error
0.4778605996458177
relative_absolute_error
0.47239383157532183
root_mean_prior_squared_error
0.4973508728636661
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_squared_error
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root_mean_squared_error
0.31680134502141
root_mean_squared_error
0.30508437181238285
root_mean_squared_error
0.3222613079637984
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
0.3250802096233134
root_mean_squared_error
0.3251168792097546
root_mean_squared_error
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root_relative_squared_error
0.6299562039890924
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
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total_cost
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total_cost
0
total_cost
0
total_cost
0
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
0.8762863196125907 [0.904358,0.848214]
unweighted_recall
0.8507995359160614 [0.899516,0.802083]
unweighted_recall
0.8452128732849071 [0.889831,0.800595]
unweighted_recall
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unweighted_recall
0.8747603914447135 [0.917676,0.831845]
unweighted_recall
0.8521374217659508 [0.875152,0.829123]
unweighted_recall
0.8527822054122203 [0.895758,0.809807]
unweighted_recall
0.8547570804628755 [0.884848,0.824666]
usercpu_time_millis
3739.7089200003393
usercpu_time_millis
3734.709090001161
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
3720.58517700043
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
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usercpu_time_millis_testing
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usercpu_time_millis_testing
10.071692999190418
usercpu_time_millis_testing
10.065310999380017
usercpu_time_millis_testing
10.588086999632651
usercpu_time_millis_testing
10.797130000355537
usercpu_time_millis_testing
10.261471000376332
usercpu_time_millis_testing
9.761564999280381
usercpu_time_millis_training
3728.6610690007365
usercpu_time_millis_training
3724.1887180007325
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
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wall_clock_time_millis
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wall_clock_time_millis
3770.6143856048584
wall_clock_time_millis
3829.0188312530518
wall_clock_time_millis
3783.017873764038
wall_clock_time_millis_testing
11.052370071411133
wall_clock_time_millis_testing
10.52999496459961
wall_clock_time_millis_testing
10.44154167175293
wall_clock_time_millis_testing
9.607076644897461
wall_clock_time_millis_testing
10.077953338623047
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
10.270357131958008
wall_clock_time_millis_testing
9.860038757324219
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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
3818.7484741210938
wall_clock_time_millis_training
3773.157835006714
weighted_recall
0.8724966622162884 [0.90799,0.828869]
weighted_recall
0.8584779706275033 [0.88862,0.821429]
weighted_recall
0.8791722296395194 [0.904358,0.848214]
weighted_recall
0.855807743658211 [0.899516,0.802083]
weighted_recall
0.849799732977303 [0.889831,0.800595]
weighted_recall
0.8624833110814419 [0.876513,0.845238]
weighted_recall
0.8791722296395194 [0.917676,0.831845]
weighted_recall
0.8544726301735648 [0.875152,0.829123]
weighted_recall
0.8571428571428571 [0.895758,0.809807]
weighted_recall
0.8578104138851802 [0.884848,0.824666]