10586269
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)
8302551
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
0.5357130389685976
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1700
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
176
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
16
19040
random_state
2880
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.12100146077335382
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
22098806
description
https://api.openml.org/data/download/22098806/description.xml
-1
22098807
predictions
https://api.openml.org/data/download/22098807/predictions.arff
area_under_roc_curve
0.946933518346213 [0.946934,0.946934]
average_cost
0
f_measure
0.8773452464858518 [0.890912,0.860683]
kappa
0.7516886733600351
kb_relative_information_score
0.6144544138197283
mean_absolute_error
0.20542620139518072
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8776368491321762 [0.906504,0.842184]
number_of_instances
14980 [8257,6723]
precision
0.8777171842609863 [0.875848,0.880012]
predictive_accuracy
0.8776368491321762
prior_entropy
0.9924223735239917
relative_absolute_error
0.41520584285231843
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.30242286873478286
root_relative_squared_error
0.6080422314055333
total_cost
0
unweighted_recall
0.8743435608685151 [0.906504,0.842184]
area_under_roc_curve
0.9465150466966448 [0.946515,0.946515]
area_under_roc_curve
0.947859016487951 [0.947859,0.947859]
area_under_roc_curve
0.9559372477804681 [0.955937,0.955937]
area_under_roc_curve
0.9465735976594027 [0.946574,0.946574]
area_under_roc_curve
0.9457493802605789 [0.945749,0.945749]
area_under_roc_curve
0.9470077755678544 [0.947008,0.947008]
area_under_roc_curve
0.9550932131327107 [0.955093,0.955093]
area_under_roc_curve
0.9416470800126076 [0.941647,0.941647]
area_under_roc_curve
0.9444099239047234 [0.94441,0.94441]
area_under_roc_curve
0.9395146111936603 [0.939515,0.939515]
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
0.8781530578315722 [0.892052,0.861069]
f_measure
0.8680703196576807 [0.883363,0.849273]
f_measure
0.8870154230986738 [0.898863,0.872453]
f_measure
0.8647632839669098 [0.88019,0.845802]
f_measure
0.8712940918217035 [0.886926,0.85208]
f_measure
0.8803505023454736 [0.89275,0.865109]
f_measure
0.8895886971490827 [0.901844,0.874525]
f_measure
0.8716074711158844 [0.885167,0.854985]
f_measure
0.8849400463847412 [0.897375,0.869697]
f_measure
0.8775928097108565 [0.890746,0.861469]
kappa
0.7532500443475837
kappa
0.7328017847862185
kappa
0.7713530668757191
kappa
0.72613466460556
kappa
0.7392562507932479
kappa
0.7578910111365331
kappa
0.7764539043012523
kappa
0.740209157930677
kappa
0.7671428235749183
kappa
0.75228482356662
kb_relative_information_score
0.615252972035234
kb_relative_information_score
0.6146508634825204
kb_relative_information_score
0.6298482616056701
kb_relative_information_score
0.602528514658799
kb_relative_information_score
0.6096076516455048
kb_relative_information_score
0.614086074368466
kb_relative_information_score
0.6259616691292371
kb_relative_information_score
0.6043927938564458
kb_relative_information_score
0.6174671696200827
kb_relative_information_score
0.6107503123188287
mean_absolute_error
0.20496160627515794
mean_absolute_error
0.20458483889933127
mean_absolute_error
0.19804779029060907
mean_absolute_error
0.2107137054531563
mean_absolute_error
0.2078760899334614
mean_absolute_error
0.2052443441317252
mean_absolute_error
0.20088671488461934
mean_absolute_error
0.21018208386768708
mean_absolute_error
0.20415641864419615
mean_absolute_error
0.20760842157185772
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
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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
0.8787224257504331 [0.874419,0.884013]
precision
0.868728174337041 [0.864426,0.874016]
precision
0.8871370985533019 [0.888757,0.885145]
precision
0.8652794574438295 [0.862791,0.868339]
precision
0.87243878884071 [0.863532,0.883387]
precision
0.8804232210489027 [0.883749,0.876336]
precision
0.890002125802095 [0.88655,0.894246]
precision
0.8717668337376335 [0.873672,0.869432]
precision
0.8852410797317022 [0.883666,0.887172]
precision
0.8778444486136442 [0.877647,0.878086]
predictive_accuracy
0.8785046728971964
predictive_accuracy
0.8684913217623498
predictive_accuracy
0.8871829105473965
predictive_accuracy
0.8651535380507344
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
0.8851802403204272
predictive_accuracy
0.8778371161548733
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
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relative_absolute_error
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relative_absolute_error
0.4003092464661934
relative_absolute_error
0.4259105568725557
relative_absolute_error
0.42017495270962596
relative_absolute_error
0.41485546806787515
relative_absolute_error
0.40604749662962625
relative_absolute_error
0.4247773174336445
relative_absolute_error
0.41259946734153596
relative_absolute_error
0.4195759541876186
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_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
0.3082208279800957
root_mean_squared_error
0.3037123685407944
root_mean_squared_error
0.307262125354915
root_relative_squared_error
0.6092601404454292
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
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.8748486682808716 [0.910412,0.839286]
unweighted_recall
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unweighted_recall
0.8846600080710251 [0.909201,0.860119]
unweighted_recall
0.8613549233252623 [0.898305,0.824405]
unweighted_recall
0.8672694713478611 [0.911622,0.822917]
unweighted_recall
0.8780518563357547 [0.901937,0.854167]
unweighted_recall
0.8866651533494754 [0.917676,0.855655]
unweighted_recall
0.8689900490792022 [0.89697,0.84101]
unweighted_recall
0.8822063127560898 [0.911515,0.852897]
unweighted_recall
0.874855238867126 [0.904242,0.845468]
usercpu_time_millis
4147.639565000645
usercpu_time_millis
4124.429526000313
usercpu_time_millis
4125.815770999907
usercpu_time_millis
4097.352448000493
usercpu_time_millis
4103.863794000972
usercpu_time_millis
4124.674722999771
usercpu_time_millis
4126.852135998888
usercpu_time_millis
4116.311658000086
usercpu_time_millis
4131.3357449998875
usercpu_time_millis
4120.325992000289
usercpu_time_millis_testing
10.807100000420178
usercpu_time_millis_testing
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usercpu_time_millis_testing
10.327119000066887
usercpu_time_millis_testing
10.42479900024773
usercpu_time_millis_testing
10.218945000815438
usercpu_time_millis_testing
10.357383999689773
usercpu_time_millis_testing
9.903931999360793
usercpu_time_millis_testing
10.920310999608773
usercpu_time_millis_testing
10.085302000334195
usercpu_time_millis_testing
9.98279499981436
usercpu_time_millis_training
4136.832465000225
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
4105.391347000477
usercpu_time_millis_training
4121.250442999553
usercpu_time_millis_training
4110.343197000475
wall_clock_time_millis
4213.065385818481
wall_clock_time_millis
4200.318098068237
wall_clock_time_millis
4188.543319702148
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
4199.296951293945
wall_clock_time_millis
4197.271347045898
wall_clock_time_millis
4195.150375366211
wall_clock_time_millis_testing
10.811805725097656
wall_clock_time_millis_testing
10.316133499145508
wall_clock_time_millis_testing
12.50147819519043
wall_clock_time_millis_testing
11.155366897583008
wall_clock_time_millis_testing
10.225057601928711
wall_clock_time_millis_testing
10.368824005126953
wall_clock_time_millis_testing
9.907722473144531
wall_clock_time_millis_testing
11.204242706298828
wall_clock_time_millis_testing
10.09058952331543
wall_clock_time_millis_testing
10.558605194091797
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
4188.0927085876465
wall_clock_time_millis_training
4187.180757522583
wall_clock_time_millis_training
4184.591770172119
weighted_recall
0.8785046728971962 [0.910412,0.839286]
weighted_recall
0.8684913217623498 [0.903148,0.825893]
weighted_recall
0.8871829105473965 [0.909201,0.860119]
weighted_recall
0.8651535380507344 [0.898305,0.824405]
weighted_recall
0.8718291054739653 [0.911622,0.822917]
weighted_recall
0.8805073431241656 [0.901937,0.854167]
weighted_recall
0.8898531375166889 [0.917676,0.855655]
weighted_recall
0.8718291054739653 [0.89697,0.84101]
weighted_recall
0.8851802403204272 [0.911515,0.852897]
weighted_recall
0.8778371161548731 [0.904242,0.845468]