10586188
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)
8302470
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
"most_frequent"
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
0.09801350166948845
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
789
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
96
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
19
19040
random_state
47134
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2570822985887827
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
22098644
description
https://api.openml.org/data/download/22098644/description.xml
-1
22098645
predictions
https://api.openml.org/data/download/22098645/predictions.arff
area_under_roc_curve
0.8908616402372461 [0.890862,0.890862]
average_cost
0
f_measure
0.8064212269405654 [0.834017,0.772529]
kappa
0.6077129692064406
kb_relative_information_score
0.3813382481279022
mean_absolute_error
0.3262313989252395
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8080774365821095 [0.874773,0.726164]
number_of_instances
14980 [8257,6723]
precision
0.8096036768000527 [0.796889,0.82522]
predictive_accuracy
0.8080774365821095
prior_entropy
0.9924223735239917
relative_absolute_error
0.6593763698870728
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.3762800863402871
root_relative_squared_error
0.7565373091294282
total_cost
0
unweighted_recall
0.8004684174328234 [0.874773,0.726164]
area_under_roc_curve
0.906237389023406 [0.906237,0.906237]
area_under_roc_curve
0.8930030698720165 [0.893003,0.893003]
area_under_roc_curve
0.89354173872939 [0.893542,0.893542]
area_under_roc_curve
0.8860985601867866 [0.886099,0.886099]
area_under_roc_curve
0.8921049881817134 [0.892105,0.892105]
area_under_roc_curve
0.8912870762711864 [0.891287,0.891287]
area_under_roc_curve
0.903410728698259 [0.903411,0.903411]
area_under_roc_curve
0.8777000315187536 [0.8777,0.8777]
area_under_roc_curve
0.8871862758341215 [0.887186,0.887186]
area_under_roc_curve
0.8802278355621596 [0.880228,0.880228]
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
0.8233958233693439 [0.849425,0.791401]
f_measure
0.8074462269158988 [0.834873,0.773734]
f_measure
0.8048641275566082 [0.832176,0.771293]
f_measure
0.793711431841569 [0.826803,0.753036]
f_measure
0.8069164278963713 [0.836571,0.770465]
f_measure
0.8084630132058275 [0.834206,0.776821]
f_measure
0.8148253851068495 [0.841316,0.782264]
f_measure
0.7875584252065376 [0.816279,0.752351]
f_measure
0.8037143239964656 [0.833046,0.767757]
f_measure
0.8130029407951234 [0.835398,0.78555]
kappa
0.6420947809212542
kappa
0.6097480106100797
kappa
0.6045118531735916
kappa
0.5821222326081668
kappa
0.60876013193894
kappa
0.6118204152293182
kappa
0.6247050570754417
kappa
0.5695911111919332
kappa
0.6023785156442406
kappa
0.6212955663685541
kb_relative_information_score
0.3973857817202393
kb_relative_information_score
0.38014133152237617
kb_relative_information_score
0.38236466383026513
kb_relative_information_score
0.37579361205339157
kb_relative_information_score
0.37904842873051303
kb_relative_information_score
0.37985709407252327
kb_relative_information_score
0.390552030759236
kb_relative_information_score
0.3705721253680623
kb_relative_information_score
0.3829778602011351
kb_relative_information_score
0.37469269852965653
mean_absolute_error
0.31954257004690106
mean_absolute_error
0.32695977999140013
mean_absolute_error
0.32549503696473814
mean_absolute_error
0.32813874198630155
mean_absolute_error
0.3273000937452577
mean_absolute_error
0.32704886191890725
mean_absolute_error
0.3224111578634096
mean_absolute_error
0.33033978442454054
mean_absolute_error
0.3252754206047008
mean_absolute_error
0.32980254170625095
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
0.8275964127344398 [0.808534,0.851027]
precision
0.81057411313647 [0.798013,0.826014]
precision
0.8075933066983499 [0.797118,0.82047]
precision
0.7998385806316111 [0.77861,0.825933]
precision
0.811959182827658 [0.792208,0.836237]
precision
0.8105032395403744 [0.802912,0.819835]
precision
0.8181588420481296 [0.803749,0.835871]
precision
0.7895970394538484 [0.784358,0.79602]
precision
0.8081287332851285 [0.79085,0.82931]
precision
0.8137486998551696 [0.813793,0.813694]
predictive_accuracy
0.8251001335113485
predictive_accuracy
0.8090787716955942
predictive_accuracy
0.8064085447263016
predictive_accuracy
0.7963951935914553
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.8164218958611482
predictive_accuracy
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predictive_accuracy
0.8057409879839788
predictive_accuracy
0.8137516688918558
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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prior_entropy
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relative_absolute_error
0.645883729586915
relative_absolute_error
0.6608759580758423
relative_absolute_error
0.6579153081417567
relative_absolute_error
0.6632589656675895
relative_absolute_error
0.6615638261008726
relative_absolute_error
0.6610560172384403
relative_absolute_error
0.6516819373102308
relative_absolute_error
0.66761564490815
relative_absolute_error
0.6573805818698856
relative_absolute_error
0.666529879097447
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_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
0.3672927325035842
root_mean_squared_error
0.3757664724755544
root_mean_squared_error
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root_mean_squared_error
0.3794532095345498
root_mean_squared_error
0.3775144744741768
root_mean_squared_error
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root_mean_squared_error
0.37035363530904786
root_mean_squared_error
0.3826218097891436
root_mean_squared_error
0.3777951850945633
root_mean_squared_error
0.38072060874631025
root_relative_squared_error
0.7384982163372347
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
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0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.8171282284100081 [0.894673,0.739583]
unweighted_recall
0.801490617433414 [0.875303,0.727679]
unweighted_recall
0.7990693099273607 [0.87046,0.727679]
unweighted_recall
0.7866601089588378 [0.881356,0.691964]
unweighted_recall
0.8002421307506054 [0.886199,0.714286]
unweighted_recall
0.8030669895076674 [0.868039,0.738095]
unweighted_recall
0.8088428167877321 [0.882567,0.735119]
unweighted_recall
0.782066729704174 [0.850909,0.713224]
unweighted_recall
0.7973551263001486 [0.88,0.71471]
unweighted_recall
0.8087342969066594 [0.858182,0.759287]
usercpu_time_millis
3549.577818999751
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3559.314297000128
usercpu_time_millis
3553.4649100000024
usercpu_time_millis
3539.9866580009984
usercpu_time_millis
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usercpu_time_millis
3540.4683389997444
usercpu_time_millis
3569.497941998634
usercpu_time_millis
3563.9081049994275
usercpu_time_millis
3546.845831999235
usercpu_time_millis
3546.617238000181
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
10.885509999752685
usercpu_time_millis_testing
10.191125000346801
usercpu_time_millis_testing
9.994144999836863
usercpu_time_millis_testing
10.016625999924145
usercpu_time_millis_testing
10.420461999274266
usercpu_time_millis_testing
9.699735999674886
usercpu_time_millis_testing
10.216396999567223
usercpu_time_millis_testing
7.099047000338032
usercpu_time_millis_training
3538.9801769997575
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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usercpu_time_millis_training
3539.518190999843
wall_clock_time_millis
3625.347852706909
wall_clock_time_millis
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wall_clock_time_millis
3617.6135540008545
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
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wall_clock_time_millis_testing
10.603189468383789
wall_clock_time_millis_testing
11.005640029907227
wall_clock_time_millis_testing
22.02773094177246
wall_clock_time_millis_testing
10.230302810668945
wall_clock_time_millis_testing
9.99903678894043
wall_clock_time_millis_testing
10.050773620605469
wall_clock_time_millis_testing
10.426521301269531
wall_clock_time_millis_testing
9.793281555175781
wall_clock_time_millis_testing
10.222196578979492
wall_clock_time_millis_testing
7.163047790527344
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wall_clock_time_millis_training
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wall_clock_time_millis_training
3616.2972450256348
wall_clock_time_millis_training
3603.2891273498535
wall_clock_time_millis_training
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weighted_recall
0.8251001335113485 [0.894673,0.739583]
weighted_recall
0.8090787716955942 [0.875303,0.727679]
weighted_recall
0.8064085447263017 [0.87046,0.727679]
weighted_recall
0.7963951935914553 [0.881356,0.691964]
weighted_recall
0.8090787716955942 [0.886199,0.714286]
weighted_recall
0.8097463284379173 [0.868039,0.738095]
weighted_recall
0.8164218958611482 [0.882567,0.735119]
weighted_recall
0.7890520694259012 [0.850909,0.713224]
weighted_recall
0.8057409879839786 [0.88,0.71471]
weighted_recall
0.8137516688918558 [0.858182,0.759287]