10586187
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)
8302469
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
0.7006625510289871
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
511
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
93
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
43191
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.30010401719706453
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
22098642
description
https://api.openml.org/data/download/22098642/description.xml
-1
22098643
predictions
https://api.openml.org/data/download/22098643/predictions.arff
area_under_roc_curve
0.9506143116101905 [0.950614,0.950614]
average_cost
0
f_measure
0.8812190192697923 [0.893497,0.866139]
kappa
0.7596682408264807
kb_relative_information_score
0.6561459174574167
mean_absolute_error
0.1815429662944929
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8813751668891856 [0.902749,0.855124]
number_of_instances
14980 [8257,6723]
precision
0.8812953649052666 [0.884433,0.877442]
predictive_accuracy
0.8813751668891855
prior_entropy
0.9924223735239917
relative_absolute_error
0.3669332335518877
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2945260803530026
root_relative_squared_error
0.5921651886121662
total_cost
0
unweighted_recall
0.8789366915087673 [0.902749,0.855124]
area_under_roc_curve
0.9498371382451287 [0.949837,0.949837]
area_under_roc_curve
0.9501938487259312 [0.950194,0.950194]
area_under_roc_curve
0.9642208578346593 [0.964221,0.964221]
area_under_roc_curve
0.9503091490833621 [0.950309,0.950309]
area_under_roc_curve
0.9480337685921827 [0.948034,0.948034]
area_under_roc_curve
0.951440533840655 [0.951441,0.951441]
area_under_roc_curve
0.9591278248587569 [0.959128,0.959128]
area_under_roc_curve
0.94327524877302 [0.943275,0.943275]
area_under_roc_curve
0.9425133954703048 [0.942513,0.942513]
area_under_roc_curve
0.9480354811112611 [0.948035,0.948035]
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
0.8742569900823867 [0.887828,0.857576]
f_measure
0.8985024761065321 [0.908213,0.886567]
f_measure
0.8755716978079614 [0.889154,0.858877]
f_measure
0.8734014296841367 [0.888232,0.855172]
f_measure
0.8791805547275543 [0.890369,0.865428]
f_measure
0.891723013887055 [0.902878,0.878012]
f_measure
0.8755974515019858 [0.888889,0.859304]
f_measure
0.8737871491963534 [0.885801,0.85906]
f_measure
0.8850409505380396 [0.896759,0.870677]
kappa
0.7673266074995574
kappa
0.7454701892904141
kappa
0.7947812042598293
kappa
0.7481078344513352
kappa
0.7435809654228005
kappa
0.755797092312154
kappa
0.7809150657229526
kappa
0.7482584960995733
kappa
0.7448638809036758
kappa
0.7674622614434061
kb_relative_information_score
0.6532425973959421
kb_relative_information_score
0.6510184040216594
kb_relative_information_score
0.6736079627929326
kb_relative_information_score
0.6427644996213044
kb_relative_information_score
0.6481396877785484
kb_relative_information_score
0.655855556425297
kb_relative_information_score
0.6801933169256309
kb_relative_information_score
0.6485999896083092
kb_relative_information_score
0.6404783035492114
kb_relative_information_score
0.6675612094455968
mean_absolute_error
0.1836384513795588
mean_absolute_error
0.18373266573600994
mean_absolute_error
0.17412717012507578
mean_absolute_error
0.18804797238872184
mean_absolute_error
0.18469071306154802
mean_absolute_error
0.18110176797582983
mean_absolute_error
0.17001836701976275
mean_absolute_error
0.18473753248050226
mean_absolute_error
0.1895247873953862
mean_absolute_error
0.17581023538253457
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
0.885118024229416 [0.887441,0.882263]
precision
0.8744698959542281 [0.875294,0.873457]
precision
0.8984865085727655 [0.906024,0.889222]
precision
0.8758444109095804 [0.875587,0.876161]
precision
0.8741782585530674 [0.868208,0.881517]
precision
0.879189669255076 [0.890909,0.864785]
precision
0.8917962106786028 [0.894299,0.88872]
precision
0.8758163019866532 [0.876325,0.875193]
precision
0.8737621592756386 [0.883133,0.862275]
precision
0.8851060105652282 [0.888228,0.881279]
predictive_accuracy
0.8851802403204272
predictive_accuracy
0.8744993324432576
predictive_accuracy
0.8985313751668892
predictive_accuracy
0.8758344459279038
predictive_accuracy
0.8738317757009345
predictive_accuracy
0.8791722296395195
predictive_accuracy
0.8918558077436581
predictive_accuracy
0.8758344459279038
predictive_accuracy
0.8738317757009345
predictive_accuracy
0.8851802403204272
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
relative_absolute_error
0.3711839954694796
relative_absolute_error
0.37137442868755244
relative_absolute_error
0.3519590708877754
relative_absolute_error
0.3800968544812603
relative_absolute_error
0.37331090675884193
relative_absolute_error
0.3660566581718506
relative_absolute_error
0.3436540457594854
relative_absolute_error
0.3733539606819108
relative_absolute_error
0.3830289875119595
relative_absolute_error
0.35531192187714256
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
0.4973508728636661
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
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_squared_error
0.29380293524830253
root_mean_squared_error
0.29771352933841555
root_mean_squared_error
0.27603085091350293
root_mean_squared_error
0.29723500559862875
root_mean_squared_error
0.3016784162701589
root_mean_squared_error
0.29567926576856685
root_mean_squared_error
0.2797282667704591
root_mean_squared_error
0.30364977684447736
root_mean_squared_error
0.30509422605028774
root_mean_squared_error
0.2932426615178803
root_relative_squared_error
0.590735738647914
root_relative_squared_error
0.5985985861937451
root_relative_squared_error
0.5550022448420807
root_relative_squared_error
0.597636441024417
root_relative_squared_error
0.6065705978017958
root_relative_squared_error
0.5945083881447585
root_relative_squared_error
0.5624364649444141
root_relative_squared_error
0.6104499847128505
root_relative_squared_error
0.6133538695922293
root_relative_squared_error
0.5895277780244526
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
0.8827053066989508 [0.90678,0.858631]
unweighted_recall
0.8714941485068604 [0.900726,0.842262]
unweighted_recall
0.8971700968523002 [0.910412,0.883929]
unweighted_recall
0.872704802259887 [0.903148,0.842262]
unweighted_recall
0.8697790556900726 [0.909201,0.830357]
unweighted_recall
0.8779509685230025 [0.889831,0.866071]
unweighted_recall
0.8895908999192897 [0.911622,0.86756]
unweighted_recall
0.8729001756044847 [0.901818,0.843982]
unweighted_recall
0.8721770453419784 [0.888485,0.855869]
unweighted_recall
0.8828907199783871 [0.905455,0.860327]
usercpu_time_millis
3339.8635040002773
usercpu_time_millis
3346.1156189996473
usercpu_time_millis
3360.901090999505
usercpu_time_millis
3363.796337999702
usercpu_time_millis
3346.4118370002325
usercpu_time_millis
3358.7691579996317
usercpu_time_millis
3347.3135540007206
usercpu_time_millis
3353.5362090005947
usercpu_time_millis
3320.784008999908
usercpu_time_millis
3307.6975310004855
usercpu_time_millis_testing
10.316609999790671
usercpu_time_millis_testing
10.49158499972691
usercpu_time_millis_testing
10.540938999838545
usercpu_time_millis_testing
10.523842999646149
usercpu_time_millis_testing
10.714308000387973
usercpu_time_millis_testing
10.663105999810796
usercpu_time_millis_testing
10.26815700060979
usercpu_time_millis_testing
9.807416000512603
usercpu_time_millis_testing
10.420349999549217
usercpu_time_millis_testing
8.16612200014788
usercpu_time_millis_training
3329.5468940004866
usercpu_time_millis_training
3335.6240339999204
usercpu_time_millis_training
3350.3601519996664
usercpu_time_millis_training
3353.2724950000556
usercpu_time_millis_training
3335.6975289998445
usercpu_time_millis_training
3348.106051999821
usercpu_time_millis_training
3337.045397000111
usercpu_time_millis_training
3343.728793000082
usercpu_time_millis_training
3310.363659000359
usercpu_time_millis_training
3299.5314090003376
wall_clock_time_millis
3400.8736610412598
wall_clock_time_millis
3419.5306301116943
wall_clock_time_millis
3443.962335586548
wall_clock_time_millis
3439.2495155334473
wall_clock_time_millis
3415.7471656799316
wall_clock_time_millis
3395.686388015747
wall_clock_time_millis
3388.019800186157
wall_clock_time_millis
3441.3602352142334
wall_clock_time_millis
3388.3461952209473
wall_clock_time_millis
3349.56955909729
wall_clock_time_millis_testing
10.324954986572266
wall_clock_time_millis_testing
11.280059814453125
wall_clock_time_millis_testing
10.549306869506836
wall_clock_time_millis_testing
11.34943962097168
wall_clock_time_millis_testing
10.845184326171875
wall_clock_time_millis_testing
10.720491409301758
wall_clock_time_millis_testing
10.274887084960938
wall_clock_time_millis_testing
9.857416152954102
wall_clock_time_millis_testing
10.428667068481445
wall_clock_time_millis_testing
9.36126708984375
wall_clock_time_millis_training
3390.5487060546875
wall_clock_time_millis_training
3408.250570297241
wall_clock_time_millis_training
3433.413028717041
wall_clock_time_millis_training
3427.9000759124756
wall_clock_time_millis_training
3404.9019813537598
wall_clock_time_millis_training
3384.9658966064453
wall_clock_time_millis_training
3377.7449131011963
wall_clock_time_millis_training
3431.5028190612793
wall_clock_time_millis_training
3377.917528152466
wall_clock_time_millis_training
3340.2082920074463
weighted_recall
0.8851802403204272 [0.90678,0.858631]
weighted_recall
0.8744993324432577 [0.900726,0.842262]
weighted_recall
0.8985313751668892 [0.910412,0.883929]
weighted_recall
0.8758344459279038 [0.903148,0.842262]
weighted_recall
0.8738317757009346 [0.909201,0.830357]
weighted_recall
0.8791722296395194 [0.889831,0.866071]
weighted_recall
0.8918558077436582 [0.911622,0.86756]
weighted_recall
0.8758344459279038 [0.901818,0.843982]
weighted_recall
0.8738317757009346 [0.888485,0.855869]
weighted_recall
0.8851802403204272 [0.905455,0.860327]