10586607
28997
Marc Boel
9977
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)
8302889
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
0.8477325025809204
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
465
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
80
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
9
19040
random_state
38898
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.395964559755074
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
22099485
description
https://api.openml.org/data/download/22099485/description.xml
-1
22099486
predictions
https://api.openml.org/data/download/22099486/predictions.arff
area_under_roc_curve
0.9926495402112359 [0.99265,0.99265]
average_cost
0
f_measure
0.9636387528516775 [0.936207,0.974607]
kappa
0.9108139493445271
kb_relative_information_score
0.880224218026992
mean_absolute_error
0.048951532057140805
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9636732917452489 [0.933259,0.975834]
number_of_instances
34465 [9844,24621]
precision
0.9636117531754154 [0.939174,0.973382]
predictive_accuracy
0.9636732917452489
prior_entropy
0.8629999933345911
relative_absolute_error
0.11995266176589382
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.16564924331748035
root_relative_squared_error
0.36671535285300005
total_cost
0
unweighted_recall
0.9545462379110633 [0.933259,0.975834]
area_under_roc_curve
0.9928178917903674 [0.992818,0.992818]
area_under_roc_curve
0.9930637053775767 [0.993064,0.993064]
area_under_roc_curve
0.99131612695716 [0.991316,0.991316]
area_under_roc_curve
0.994115221416289 [0.994115,0.994115]
area_under_roc_curve
0.9925156799597536 [0.992516,0.992516]
area_under_roc_curve
0.9933295027507546 [0.99333,0.99333]
area_under_roc_curve
0.9920447303071731 [0.992045,0.992045]
area_under_roc_curve
0.993554673310746 [0.993555,0.993555]
area_under_roc_curve
0.9905102269950401 [0.99051,0.99051]
area_under_roc_curve
0.9934128839663701 [0.993413,0.993413]
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
0.9599406597740794 [0.929735,0.972008]
f_measure
0.9628999859191382 [0.935223,0.973973]
f_measure
0.9596934456621586 [0.929549,0.971754]
f_measure
0.9648266366761447 [0.938171,0.975491]
f_measure
0.9634906528735792 [0.936299,0.974369]
f_measure
0.9656832709169514 [0.939611,0.976104]
f_measure
0.9637094125840413 [0.936387,0.97463]
f_measure
0.9648053023532337 [0.938044,0.975501]
f_measure
0.9660005718552704 [0.940276,0.976282]
f_measure
0.9653543014874288 [0.93888,0.975935]
kappa
0.9017435101713022
kappa
0.9091961682666522
kappa
0.901302710373378
kappa
0.9136633685500893
kappa
0.9106692861885217
kappa
0.9157164520271844
kappa
0.9110164432110349
kappa
0.913547165007342
kappa
0.9165585314639292
kappa
0.9148195185138565
kb_relative_information_score
0.8744012010575275
kb_relative_information_score
0.8775006705190442
kb_relative_information_score
0.8738475465588172
kb_relative_information_score
0.8833583545226612
kb_relative_information_score
0.8830221879054412
kb_relative_information_score
0.887855715209335
kb_relative_information_score
0.8801406468255977
kb_relative_information_score
0.8873111370067526
kb_relative_information_score
0.8756969460846529
kb_relative_information_score
0.8791106508933589
mean_absolute_error
0.0513206428285058
mean_absolute_error
0.05030165402340775
mean_absolute_error
0.05104525752177679
mean_absolute_error
0.0482406273824245
mean_absolute_error
0.047315206272409975
mean_absolute_error
0.04544023107981545
mean_absolute_error
0.04880187464183117
mean_absolute_error
0.04620762525579854
mean_absolute_error
0.05134191415003807
mean_absolute_error
0.0494992816905737
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.9599192486773078 [0.931633,0.97122]
precision
0.9629407101991346 [0.932392,0.975163]
precision
0.9597135556981329 [0.928138,0.972346]
precision
0.9647895842673911 [0.944444,0.972929]
precision
0.9635472699190133 [0.932528,0.975958]
precision
0.9656479010703964 [0.946392,0.973344]
precision
0.9636945287649517 [0.937819,0.974037]
precision
0.9647682399933958 [0.945304,0.972547]
precision
0.9659695299529636 [0.944615,0.974504]
precision
0.9653289291786787 [0.949117,0.971808]
predictive_accuracy
0.9599651871192342
predictive_accuracy
0.962866260516391
predictive_accuracy
0.9596750797795184
predictive_accuracy
0.964897011894401
predictive_accuracy
0.9634464751958224
predictive_accuracy
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predictive_accuracy
0.9637260591990714
predictive_accuracy
0.9648868253047012
predictive_accuracy
0.9660475914103308
predictive_accuracy
0.965467208357516
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
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
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
0.12577882779683622
relative_absolute_error
0.12324387805706458
relative_absolute_error
0.1250657779658261
relative_absolute_error
0.11819416506163308
relative_absolute_error
0.11592679456162944
relative_absolute_error
0.11135717009341649
relative_absolute_error
0.1195953129248491
relative_absolute_error
0.1132377688877656
relative_absolute_error
0.12582000863694984
relative_absolute_error
0.12130439920160589
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.16866500328032089
root_mean_squared_error
0.16542677896993893
root_mean_squared_error
0.17171127323710844
root_mean_squared_error
0.1608591925034346
root_mean_squared_error
0.1681167400689917
root_mean_squared_error
0.1635067956491472
root_mean_squared_error
0.1661569865272755
root_mean_squared_error
0.1584826844780061
root_mean_squared_error
0.1671596230245113
root_mean_squared_error
0.16600231647713382
root_relative_squared_error
0.3734534506767953
root_relative_squared_error
0.3661718398281157
root_relative_squared_error
0.38008255514595957
root_relative_squared_error
0.3560614964458159
root_relative_squared_error
0.37212606326666303
root_relative_squared_error
0.3620007739057273
root_relative_squared_error
0.36786824348135866
root_relative_squared_error
0.3508774923019209
root_relative_squared_error
0.3700880606241537
root_relative_squared_error
0.36752580708518906
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
0.9503214649990592 [0.927846,0.972797]
unweighted_recall
0.9554287092743714 [0.938071,0.972786]
unweighted_recall
0.9510630620971766 [0.930964,0.971162]
unweighted_recall
0.9550231539708132 [0.93198,0.978067]
unweighted_recall
0.9564439377007674 [0.940102,0.972786]
unweighted_recall
0.9559028947316281 [0.932927,0.978879]
unweighted_recall
0.9550913726034091 [0.934959,0.975223]
unweighted_recall
0.9546835476478241 [0.930894,0.978473]
unweighted_recall
0.9570211111331259 [0.935976,0.978067]
unweighted_recall
0.9544796351700316 [0.928862,0.980097]
usercpu_time_millis
18898.89206299631
usercpu_time_millis
14857.77576700275
usercpu_time_millis
20979.35269700247
usercpu_time_millis
19696.23282000248
usercpu_time_millis
20212.07709400187
usercpu_time_millis
24480.052437000268
usercpu_time_millis
17765.763567997055
usercpu_time_millis
15011.49259000158
usercpu_time_millis
14686.169123000582
usercpu_time_millis
15011.94979900174
usercpu_time_millis_testing
76.01311599864857
usercpu_time_millis_testing
73.08003300204291
usercpu_time_millis_testing
77.43764000042574
usercpu_time_millis_testing
76.84061899999506
usercpu_time_millis_testing
75.87436700123362
usercpu_time_millis_testing
77.83566000216524
usercpu_time_millis_testing
73.69035099691246
usercpu_time_millis_testing
74.48499400197761
usercpu_time_millis_testing
74.0504380009952
usercpu_time_millis_testing
42.11249500076519
usercpu_time_millis_training
18822.878946997662
usercpu_time_millis_training
14784.695734000707
usercpu_time_millis_training
20901.915057002043
usercpu_time_millis_training
19619.392201002483
usercpu_time_millis_training
20136.202727000637
usercpu_time_millis_training
24402.216776998102
usercpu_time_millis_training
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usercpu_time_millis_training
14937.007595999603
usercpu_time_millis_training
14612.118684999587
usercpu_time_millis_training
14969.837304000976
wall_clock_time_millis
19303.499460220337
wall_clock_time_millis
15107.819080352783
wall_clock_time_millis
21262.025356292725
wall_clock_time_millis
20107.15913772583
wall_clock_time_millis
20535.71891784668
wall_clock_time_millis
24973.597764968872
wall_clock_time_millis
18057.549953460693
wall_clock_time_millis
15256.49356842041
wall_clock_time_millis
14878.466844558716
wall_clock_time_millis
15248.089075088501
wall_clock_time_millis_testing
76.49588584899902
wall_clock_time_millis_testing
73.12703132629395
wall_clock_time_millis_testing
78.68385314941406
wall_clock_time_millis_testing
76.93243026733398
wall_clock_time_millis_testing
76.05886459350586
wall_clock_time_millis_testing
77.86130905151367
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
75.6075382232666
wall_clock_time_millis_testing
42.121171951293945
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
24895.73645591736
wall_clock_time_millis_training
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wall_clock_time_millis_training
15181.756734848022
wall_clock_time_millis_training
14802.85930633545
wall_clock_time_millis_training
15205.967903137207
weighted_recall
0.9599651871192341 [0.927846,0.972797]
weighted_recall
0.962866260516391 [0.938071,0.972786]
weighted_recall
0.9596750797795184 [0.930964,0.971162]
weighted_recall
0.9648970118944009 [0.93198,0.978067]
weighted_recall
0.9634464751958225 [0.940102,0.972786]
weighted_recall
0.9657573998839234 [0.932927,0.978879]
weighted_recall
0.9637260591990714 [0.934959,0.975223]
weighted_recall
0.9648868253047012 [0.930894,0.978473]
weighted_recall
0.9660475914103308 [0.935976,0.978067]
weighted_recall
0.965467208357516 [0.928862,0.980097]