10586171
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)
8302453
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
0.752329101007675
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
427
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
87
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
12
19040
random_state
29526
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.09107777183500411
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
22098610
description
https://api.openml.org/data/download/22098610/description.xml
-1
22098611
predictions
https://api.openml.org/data/download/22098611/predictions.arff
area_under_roc_curve
0.956221965087754 [0.956222,0.956222]
average_cost
0
f_measure
0.88463873574865 [0.896486,0.870089]
kappa
0.7666013331036611
kb_relative_information_score
0.6767705062379649
mean_absolute_error
0.17045531025342642
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8847797062750333 [0.905171,0.859735]
number_of_instances
14980 [8257,6723]
precision
0.884702055766403 [0.887965,0.880695]
predictive_accuracy
0.8847797062750334
prior_entropy
0.9924223735239917
relative_absolute_error
0.3445229492720771
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2865681249980437
root_relative_squared_error
0.5761651653609541
total_cost
0
unweighted_recall
0.8824533034960794 [0.905171,0.859735]
area_under_roc_curve
0.9559624697336562 [0.955962,0.955962]
area_under_roc_curve
0.9640136775049004 [0.964014,0.964014]
area_under_roc_curve
0.9648279862792576 [0.964828,0.964828]
area_under_roc_curve
0.9507559379684078 [0.950756,0.950756]
area_under_roc_curve
0.9535609794765365 [0.953561,0.953561]
area_under_roc_curve
0.9522638504554364 [0.952264,0.952264]
area_under_roc_curve
0.9605906981436643 [0.960591,0.960591]
area_under_roc_curve
0.9487000765455444 [0.9487,0.9487]
area_under_roc_curve
0.958422261245441 [0.958422,0.958422]
area_under_roc_curve
0.9546382097347922 [0.954638,0.954638]
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
0.8863760022271564 [0.898082,0.871988]
f_measure
0.8911329641427634 [0.901748,0.878085]
f_measure
0.8910816544090663 [0.902102,0.877536]
f_measure
0.8694885981176458 [0.884135,0.851485]
f_measure
0.8767635267664442 [0.891124,0.859112]
f_measure
0.8785833648367323 [0.88916,0.865583]
f_measure
0.8943028400734295 [0.90584,0.880121]
f_measure
0.8818177071595257 [0.892922,0.868206]
f_measure
0.8937557732965247 [0.90439,0.88072]
f_measure
0.8829651300728498 [0.895397,0.867725]
kappa
0.7700960566228513
kappa
0.7798381701359522
kappa
0.7796545930034238
kappa
0.7357355455639288
kappa
0.7503993508963208
kappa
0.7547540488124322
kappa
0.7860270851790911
kappa
0.7611284385321002
kappa
0.7851262185671471
kappa
0.7631789577525354
kb_relative_information_score
0.6777040338251312
kb_relative_information_score
0.6908539410934498
kb_relative_information_score
0.6855331800873786
kb_relative_information_score
0.663086898090314
kb_relative_information_score
0.6725944522337816
kb_relative_information_score
0.6695955087473062
kb_relative_information_score
0.6855668750973918
kb_relative_information_score
0.664843163477449
kb_relative_information_score
0.6815608212568081
kb_relative_information_score
0.6763676921834738
mean_absolute_error
0.16997074196816753
mean_absolute_error
0.16345865487500533
mean_absolute_error
0.16651277567618483
mean_absolute_error
0.17683507657607617
mean_absolute_error
0.17210461006901345
mean_absolute_error
0.17351079433115038
mean_absolute_error
0.16699772045617214
mean_absolute_error
0.17626532913076776
mean_absolute_error
0.168482495193365
mean_absolute_error
0.17041490425836897
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
0.8864413699079606 [0.889549,0.882622]
precision
0.8911169780258389 [0.897959,0.882707]
precision
0.8911108234938274 [0.895113,0.886191]
precision
0.8699077676626296 [0.868145,0.872075]
precision
0.8775077103622683 [0.871528,0.884858]
precision
0.8787407897628862 [0.894608,0.859238]
precision
0.8946269459198017 [0.892019,0.897833]
precision
0.8818000899317195 [0.891304,0.870149]
precision
0.8937892190189606 [0.897375,0.889394]
precision
0.8831748402805095 [0.883255,0.883077]
predictive_accuracy
0.8865153538050734
predictive_accuracy
0.891188251001335
predictive_accuracy
0.891188251001335
predictive_accuracy
0.869826435246996
predictive_accuracy
0.87716955941255
predictive_accuracy
0.8785046728971964
predictive_accuracy
0.8945260347129507
predictive_accuracy
0.8818424566088118
predictive_accuracy
0.8938584779706276
predictive_accuracy
0.883177570093458
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
0.343557782385433
relative_absolute_error
0.33039505699798594
relative_absolute_error
0.33656827809145484
relative_absolute_error
0.3574324972224509
relative_absolute_error
0.3478709187766769
relative_absolute_error
0.3507132052851134
relative_absolute_error
0.33754848533925896
relative_absolute_error
0.3562316648828166
relative_absolute_error
0.3405025824552076
relative_absolute_error
0.344407974978262
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
0.2866286659932771
root_mean_squared_error
0.2745371914710968
root_mean_squared_error
0.27550589802686126
root_mean_squared_error
0.29572421518450753
root_mean_squared_error
0.29161214229775445
root_mean_squared_error
0.2952313823864124
root_mean_squared_error
0.2777788620779368
root_mean_squared_error
0.29645301866507473
root_mean_squared_error
0.28306106694380295
root_mean_squared_error
0.2880306631095906
root_relative_squared_error
0.5763107730019965
root_relative_squared_error
0.5519990140770357
root_relative_squared_error
0.5539467467716358
root_relative_squared_error
0.5945987658205467
root_relative_squared_error
0.5863308143377708
root_relative_squared_error
0.5936078501009111
root_relative_squared_error
0.5585168886475074
root_relative_squared_error
0.5959818004571165
root_relative_squared_error
0.5690589526668719
root_relative_squared_error
0.5790497056157465
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
0.8841934019370461 [0.90678,0.861607]
unweighted_recall
0.8895404560129136 [0.905569,0.873512]
unweighted_recall
0.8891242937853108 [0.909201,0.869048]
unweighted_recall
0.8662858151735271 [0.900726,0.831845]
unweighted_recall
0.8732218523002422 [0.911622,0.834821]
unweighted_recall
0.8779005246166263 [0.883777,0.872024]
unweighted_recall
0.8915960451977402 [0.920097,0.863095]
unweighted_recall
0.8804079427259219 [0.894545,0.86627]
unweighted_recall
0.8918645594128507 [0.911515,0.872214]
unweighted_recall
0.880388130937908 [0.907879,0.852897]
usercpu_time_millis
4284.649346000151
usercpu_time_millis
4314.197220999631
usercpu_time_millis
4299.364076000529
usercpu_time_millis
4310.72996399962
usercpu_time_millis
4271.813558000758
usercpu_time_millis
4270.090885001082
usercpu_time_millis
4264.660116000414
usercpu_time_millis
4270.29070000026
usercpu_time_millis
4245.719286998792
usercpu_time_millis
4272.993017000772
usercpu_time_millis_testing
10.504341999876488
usercpu_time_millis_testing
10.72876099988207
usercpu_time_millis_testing
10.431759000312013
usercpu_time_millis_testing
11.410135000005539
usercpu_time_millis_testing
10.749527000371017
usercpu_time_millis_testing
10.539067000536306
usercpu_time_millis_testing
10.128564000297047
usercpu_time_millis_testing
10.723254000367888
usercpu_time_millis_testing
11.140645999148546
usercpu_time_millis_testing
7.143689000258746
usercpu_time_millis_training
4274.145004000275
usercpu_time_millis_training
4303.468459999749
usercpu_time_millis_training
4288.932317000217
usercpu_time_millis_training
4299.319828999614
usercpu_time_millis_training
4261.064031000387
usercpu_time_millis_training
4259.551818000546
usercpu_time_millis_training
4254.531552000117
usercpu_time_millis_training
4259.567445999892
usercpu_time_millis_training
4234.5786409996435
usercpu_time_millis_training
4265.849328000513
wall_clock_time_millis
4370.297193527222
wall_clock_time_millis
4400.330066680908
wall_clock_time_millis
4389.8303508758545
wall_clock_time_millis
4414.795160293579
wall_clock_time_millis
4352.077960968018
wall_clock_time_millis
4344.995021820068
wall_clock_time_millis
4344.801425933838
wall_clock_time_millis
4345.289468765259
wall_clock_time_millis
4343.026399612427
wall_clock_time_millis
4344.055414199829
wall_clock_time_millis_testing
10.510921478271484
wall_clock_time_millis_testing
10.760068893432617
wall_clock_time_millis_testing
10.439157485961914
wall_clock_time_millis_testing
16.536712646484375
wall_clock_time_millis_testing
10.7574462890625
wall_clock_time_millis_testing
10.689258575439453
wall_clock_time_millis_testing
10.134458541870117
wall_clock_time_millis_testing
10.742902755737305
wall_clock_time_millis_testing
11.275291442871094
wall_clock_time_millis_testing
7.14874267578125
wall_clock_time_millis_training
4359.78627204895
wall_clock_time_millis_training
4389.569997787476
wall_clock_time_millis_training
4379.391193389893
wall_clock_time_millis_training
4398.258447647095
wall_clock_time_millis_training
4341.320514678955
wall_clock_time_millis_training
4334.305763244629
wall_clock_time_millis_training
4334.666967391968
wall_clock_time_millis_training
4334.5465660095215
wall_clock_time_millis_training
4331.751108169556
wall_clock_time_millis_training
4336.906671524048
weighted_recall
0.8865153538050734 [0.90678,0.861607]
weighted_recall
0.8911882510013351 [0.905569,0.873512]
weighted_recall
0.8911882510013351 [0.909201,0.869048]
weighted_recall
0.869826435246996 [0.900726,0.831845]
weighted_recall
0.87716955941255 [0.911622,0.834821]
weighted_recall
0.8785046728971962 [0.883777,0.872024]
weighted_recall
0.8945260347129506 [0.920097,0.863095]
weighted_recall
0.8818424566088118 [0.894545,0.86627]
weighted_recall
0.8938584779706275 [0.911515,0.872214]
weighted_recall
0.883177570093458 [0.907879,0.852897]