10583977
28997
Marc Boel
9952
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)
8300259
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
"median"
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
0.8495427353661619
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1601
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
105
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
18
19040
random_state
45158
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2791193056502523
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1489
phoneme
https://www.openml.org/data/download/1592281/php8Mz7BG
-1
22094222
description
https://api.openml.org/data/download/22094222/description.xml
-1
22094223
predictions
https://api.openml.org/data/download/22094223/predictions.arff
area_under_roc_curve
0.927021948201821 [0.927022,0.927022]
average_cost
0
f_measure
0.8630590927764886 [0.904632,0.76298]
kappa
0.6676819309945997
kb_relative_information_score
0.5649340028453466
mean_absolute_error
0.17953158956892393
mean_prior_absolute_error
0.4147357447231523
weighted_recall
0.8639896373056994 [0.913043,0.745902]
number_of_instances
5404 [3818,1586]
precision
0.8624719360569734 [0.896374,0.780858]
predictive_accuracy
0.8639896373056994
prior_entropy
0.8731822780289229
relative_absolute_error
0.43288188166362723
root_mean_prior_squared_error
0.4553593089081206
root_mean_squared_error
0.3127596692037867
root_relative_squared_error
0.6868414965617697
total_cost
0
unweighted_recall
0.829472558802566 [0.913043,0.745902]
area_under_roc_curve
0.9289242319470513 [0.928924,0.928924]
area_under_roc_curve
0.9362507820474826 [0.936251,0.936251]
area_under_roc_curve
0.9225443709045408 [0.922544,0.922544]
area_under_roc_curve
0.924009680924627 [0.92401,0.92401]
area_under_roc_curve
0.907797070713765 [0.907797,0.907797]
area_under_roc_curve
0.9321525614686196 [0.932153,0.932153]
area_under_roc_curve
0.9370402279806481 [0.93704,0.93704]
area_under_roc_curve
0.9307773875008284 [0.930777,0.930777]
area_under_roc_curve
0.9229766090559435 [0.922977,0.922977]
area_under_roc_curve
0.9225226563660673 [0.922523,0.922523]
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
0.8641586772637363 [0.905318,0.765273]
f_measure
0.8578007965611387 [0.899083,0.758621]
f_measure
0.8618793668658261 [0.904393,0.75974]
f_measure
0.8585456935327155 [0.898283,0.763077]
f_measure
0.8398309408719696 [0.891165,0.715719]
f_measure
0.8864962144353679 [0.920676,0.803859]
f_measure
0.8683957533630736 [0.90719,0.774603]
f_measure
0.8678890364739529 [0.907672,0.771704]
f_measure
0.8587044753119326 [0.903723,0.750831]
f_measure
0.8662402366286297 [0.908858,0.76412]
kappa
0.6706583830213066
kappa
0.6577046647877138
kappa
0.6642738540496118
kappa
0.6614270503994732
kappa
0.607370149866557
kappa
0.7245635159542445
kappa
0.6817940375805058
kappa
0.6794099939795303
kappa
0.6549785319975466
kappa
0.6733796769576772
kb_relative_information_score
0.5654611999620045
kb_relative_information_score
0.5684210237229013
kb_relative_information_score
0.5631818282973264
kb_relative_information_score
0.5548574420800834
kb_relative_information_score
0.5155494336143999
kb_relative_information_score
0.5900584855713807
kb_relative_information_score
0.6006876309776544
kb_relative_information_score
0.5625939988570522
kb_relative_information_score
0.5488994758198374
kb_relative_information_score
0.5796623671238911
mean_absolute_error
0.17855707874594143
mean_absolute_error
0.17797636501859015
mean_absolute_error
0.18145419479498723
mean_absolute_error
0.18439759221509677
mean_absolute_error
0.19723841194324895
mean_absolute_error
0.1710865599468935
mean_absolute_error
0.16324513206721528
mean_absolute_error
0.17992222822973508
mean_absolute_error
0.18665020308055394
mean_absolute_error
0.174780242846059
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.4149066245966177
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.41436675299050424
mean_prior_absolute_error
0.415131335553089
mean_prior_absolute_error
0.415131335553089
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
541 [382,159]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [382,158]
number_of_instances
540 [381,159]
number_of_instances
540 [381,159]
precision
0.8635860582298849 [0.897172,0.782895]
precision
0.8579371764643098 [0.900262,0.75625]
precision
0.8612269455909745 [0.892857,0.785235]
precision
0.8597370628540038 [0.906667,0.746988]
precision
0.8390252621308986 [0.87218,0.758865]
precision
0.8861320813137198 [0.914729,0.816993]
precision
0.868279749706967 [0.906005,0.77707]
precision
0.8674306012959304 [0.901809,0.784314]
precision
0.8583203576568289 [0.884422,0.795775]
precision
0.8660129678124582 [0.889447,0.809859]
predictive_accuracy
0.8650646950092421
predictive_accuracy
0.8576709796672829
predictive_accuracy
0.8632162661737524
predictive_accuracy
0.8576709796672829
predictive_accuracy
0.8425925925925926
predictive_accuracy
0.8870370370370371
predictive_accuracy
0.8685185185185185
predictive_accuracy
0.8685185185185185
predictive_accuracy
0.8611111111111112
predictive_accuracy
0.8685185185185185
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8737066175945942
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8720500383981036
prior_entropy
0.8743961361606727
prior_entropy
0.8743961361606727
relative_absolute_error
0.4303548513344152
relative_absolute_error
0.4289552262310179
relative_absolute_error
0.4373374249480866
relative_absolute_error
0.44443154503588034
relative_absolute_error
0.475999607883041
relative_absolute_error
0.4128867934315526
relative_absolute_error
0.3939629106077346
relative_absolute_error
0.43421009753130035
relative_absolute_error
0.44961723458402764
relative_absolute_error
0.42102396971116446
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.45554690217666205
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.454953963029931
root_mean_prior_squared_error
0.45579347410776366
root_mean_prior_squared_error
0.45579347410776366
root_mean_squared_error
0.3100999081942766
root_mean_squared_error
0.30442303134952237
root_mean_squared_error
0.31683653478173684
root_mean_squared_error
0.3186371009817136
root_mean_squared_error
0.3325159462666346
root_mean_squared_error
0.2985109969960404
root_mean_squared_error
0.3025026846882949
root_mean_squared_error
0.31218945475774024
root_mean_squared_error
0.32004279667103563
root_mean_squared_error
0.3104248040362336
root_relative_squared_error
0.6807200459767789
root_relative_squared_error
0.6682583722882315
root_relative_squared_error
0.6955080437773824
root_relative_squared_error
0.6994605812469019
root_relative_squared_error
0.7308782278807376
root_relative_squared_error
0.6561345130570971
root_relative_squared_error
0.6649083407773141
root_relative_squared_error
0.6862000996289851
root_relative_squared_error
0.7021662547879473
root_relative_squared_error
0.6810646085793663
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
0.8310201192005005 [0.913613,0.748428]
unweighted_recall
0.8294560242352399 [0.897906,0.761006]
unweighted_recall
0.8260397115479601 [0.91623,0.735849]
unweighted_recall
0.8349632849287103 [0.890052,0.779874]
unweighted_recall
0.7941049771356616 [0.910995,0.677215]
unweighted_recall
0.8589204055934787 [0.926702,0.791139]
unweighted_recall
0.8402644310424813 [0.908377,0.772152]
unweighted_recall
0.8365531181655511 [0.913613,0.759494]
unweighted_recall
0.8172881691675333 [0.923885,0.710692]
unweighted_recall
0.8262021492596444 [0.929134,0.72327]
usercpu_time_millis
420.6704409999702
usercpu_time_millis
455.44685499999105
usercpu_time_millis
354.75707199998396
usercpu_time_millis
526.16544600005
usercpu_time_millis
471.0749979999491
usercpu_time_millis
500.4907540000545
usercpu_time_millis
733.9251519999834
usercpu_time_millis
404.49868799998967
usercpu_time_millis
392.24633100002393
usercpu_time_millis
537.0414419999747
usercpu_time_millis_testing
5.755744999987655
usercpu_time_millis_testing
5.92645699998684
usercpu_time_millis_testing
5.519128000003093
usercpu_time_millis_testing
5.839566000020113
usercpu_time_millis_testing
5.891399999995883
usercpu_time_millis_testing
5.82689200001596
usercpu_time_millis_testing
6.412254999986544
usercpu_time_millis_testing
5.563735999999153
usercpu_time_millis_testing
5.7769260000100076
usercpu_time_millis_testing
4.0783249999662985
usercpu_time_millis_training
414.91469599998254
usercpu_time_millis_training
449.5203980000042
usercpu_time_millis_training
349.23794399998087
usercpu_time_millis_training
520.3258800000299
usercpu_time_millis_training
465.18359799995324
usercpu_time_millis_training
494.66386200003853
usercpu_time_millis_training
727.5128969999969
usercpu_time_millis_training
398.9349519999905
usercpu_time_millis_training
386.4694050000139
usercpu_time_millis_training
532.9631170000084
wall_clock_time_millis
426.7275333404541
wall_clock_time_millis
477.7693748474121
wall_clock_time_millis
383.19993019104004
wall_clock_time_millis
537.6863479614258
wall_clock_time_millis
478.50751876831055
wall_clock_time_millis
515.5999660491943
wall_clock_time_millis
756.321907043457
wall_clock_time_millis
407.18913078308105
wall_clock_time_millis
411.1020565032959
wall_clock_time_millis
541.1856174468994
wall_clock_time_millis_testing
5.838632583618164
wall_clock_time_millis_testing
5.930423736572266
wall_clock_time_millis_testing
5.52678108215332
wall_clock_time_millis_testing
5.90205192565918
wall_clock_time_millis_testing
5.996942520141602
wall_clock_time_millis_testing
5.8345794677734375
wall_clock_time_millis_testing
6.426095962524414
wall_clock_time_millis_testing
5.567789077758789
wall_clock_time_millis_testing
8.486032485961914
wall_clock_time_millis_testing
4.082918167114258
wall_clock_time_millis_training
420.88890075683594
wall_clock_time_millis_training
471.83895111083984
wall_clock_time_millis_training
377.6731491088867
wall_clock_time_millis_training
531.7842960357666
wall_clock_time_millis_training
472.51057624816895
wall_clock_time_millis_training
509.7653865814209
wall_clock_time_millis_training
749.8958110809326
wall_clock_time_millis_training
401.62134170532227
wall_clock_time_millis_training
402.616024017334
wall_clock_time_millis_training
537.1026992797852
weighted_recall
0.8650646950092421 [0.913613,0.748428]
weighted_recall
0.8576709796672828 [0.897906,0.761006]
weighted_recall
0.8632162661737524 [0.91623,0.735849]
weighted_recall
0.8576709796672828 [0.890052,0.779874]
weighted_recall
0.8425925925925926 [0.910995,0.677215]
weighted_recall
0.8870370370370371 [0.926702,0.791139]
weighted_recall
0.8685185185185185 [0.908377,0.772152]
weighted_recall
0.8685185185185185 [0.913613,0.759494]
weighted_recall
0.8611111111111112 [0.923885,0.710692]
weighted_recall
0.8685185185185185 [0.929134,0.72327]