10398482
8323
Heinrich Peters
14965
Supervised Classification
16374
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(2)
8236251
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
139.85796160752008
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5600577147860231
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.0012591843444165287
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
16348
n_values
null
16348
sparse
true
16348
memory
null
16374
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16374
verbose
false
16374
n_jobs
null
16375
remainder
"drop"
16375
sparse_threshold
0.3
16375
transformer_weights
null
16375
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, false, false, false, true, false, false, false, true, false, true, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, true, true, true, false, true, true, true, false, true, false, false, false, false, true]}}]
16375
verbose
false
16375
memory
null
16376
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
16376
verbose
false
16376
memory
null
16377
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
16377
verbose
false
16377
openml-python
Sklearn_0.21.2.
1461
bank-marketing
https://www.openml.org/data/download/1586218/phpkIxskf
-1
21718716
description
https://api.openml.org/data/download/21718716/description.xml
-1
21718717
predictions
https://api.openml.org/data/download/21718717/predictions.arff
area_under_roc_curve
0.6125930651743863 [0.612593,0.612593]
average_cost
0
f_measure
0.8741412131079459 [0.943221,0.352715]
kappa
0.30825857353227765
kb_relative_information_score
0.3432988475260519
mean_absolute_error
0.10439937183428812
mean_prior_absolute_error
0.2066116987839826
number_of_instances
45211 [39922,5289]
precision
0.8763169245864584 [0.907355,0.642037]
predictive_accuracy
0.8956006281657118
prior_entropy
0.520631223257915
recall
0.8956006281657118 [0.98204,0.243146]
relative_absolute_error
0.5052926453280854
root_mean_prior_squared_error
0.3214021785344237
root_mean_squared_error
0.32310891636457223
root_relative_squared_error
1.0053102870613109
total_cost
0
area_under_roc_curve
0.6047814298841498 [0.604781,0.604781]
area_under_roc_curve
0.6205938517405459 [0.620594,0.620594]
area_under_roc_curve
0.6158024934557205 [0.615802,0.615802]
area_under_roc_curve
0.6224303521977793 [0.62243,0.62243]
area_under_roc_curve
0.6213483204594445 [0.621348,0.621348]
area_under_roc_curve
0.6051666186815976 [0.605167,0.605167]
area_under_roc_curve
0.6020689772740188 [0.602069,0.602069]
area_under_roc_curve
0.6156204185308235 [0.61562,0.61562]
area_under_roc_curve
0.6132858817824686 [0.613286,0.613286]
area_under_roc_curve
0.6048476916024867 [0.604848,0.604848]
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
0.8714250997675363 [0.942589,0.334262]
f_measure
0.8772211708446774 [0.944123,0.371274]
f_measure
0.876290477474884 [0.944458,0.361878]
f_measure
0.8769669258745927 [0.943574,0.374332]
f_measure
0.8782957257438093 [0.945013,0.374829]
f_measure
0.8701405474811889 [0.941276,0.333333]
f_measure
0.8704453201875133 [0.942363,0.327731]
f_measure
0.8751231343819684 [0.943428,0.359673]
f_measure
0.8747109105640405 [0.943596,0.354883]
f_measure
0.8706026783885666 [0.941799,0.333333]
kappa
0.2905698177189833
kappa
0.3265102875426444
kappa
0.31895200812287633
kappa
0.3283098508383797
kappa
0.3316057047007006
kappa
0.2870647496056028
kappa
0.28433672002174
kappa
0.31489487103759295
kappa
0.31096717461474954
kappa
0.2881287778724844
kb_relative_information_score
0.33507896078073107
kb_relative_information_score
0.35370388763153693
kb_relative_information_score
0.3572867240597364
kb_relative_information_score
0.34893979839817135
kb_relative_information_score
0.3642424954443711
kb_relative_information_score
0.32111671285963267
kb_relative_information_score
0.33224594707505006
kb_relative_information_score
0.34615748984432004
kb_relative_information_score
0.3475486441212462
kb_relative_information_score
0.32668132996734145
mean_absolute_error
0.10570544007076514
mean_absolute_error
0.10263216102632161
mean_absolute_error
0.10218978102189781
mean_absolute_error
0.10351692103516921
mean_absolute_error
0.10108383101083832
mean_absolute_error
0.1079407210794072
mean_absolute_error
0.10617120106171202
mean_absolute_error
0.10395930103959301
mean_absolute_error
0.1037381110373811
mean_absolute_error
0.1070559610705596
mean_prior_absolute_error
0.20661080331612625
mean_prior_absolute_error
0.2064611931746976
mean_prior_absolute_error
0.20663062394342793
mean_prior_absolute_error
0.20663062394342793
mean_prior_absolute_error
0.20663062394342793
mean_prior_absolute_error
0.20663062394342793
mean_prior_absolute_error
0.20663062394342793
mean_prior_absolute_error
0.20663062394342793
mean_prior_absolute_error
0.20663062394342793
mean_prior_absolute_error
0.20663062394342793
number_of_instances
4522 [3993,529]
number_of_instances
4521 [3993,528]
number_of_instances
4521 [3992,529]
number_of_instances
4521 [3992,529]
number_of_instances
4521 [3992,529]
number_of_instances
4521 [3992,529]
number_of_instances
4521 [3992,529]
number_of_instances
4521 [3992,529]
number_of_instances
4521 [3992,529]
number_of_instances
4521 [3992,529]
precision
0.8739421171637319 [0.905608,0.634921]
precision
0.8792964332820785 [0.909302,0.652381]
precision
0.8803601205131926 [0.907998,0.671795]
precision
0.8779483884726499 [0.909577,0.639269]
precision
0.882206662266151 [0.909238,0.678218]
precision
0.8700837942837 [0.905743,0.600985]
precision
0.8730907108206648 [0.904982,0.632432]
precision
0.8771128036362017 [0.908017,0.643902]
precision
0.8775223168841753 [0.907472,0.651515]
precision
0.8715428735273392 [0.905643,0.614213]
predictive_accuracy
0.8942945599292348
predictive_accuracy
0.8973678389736784
predictive_accuracy
0.8978102189781022
predictive_accuracy
0.8964830789648307
predictive_accuracy
0.8989161689891617
predictive_accuracy
0.8920592789205928
predictive_accuracy
0.893828798938288
predictive_accuracy
0.896040698960407
predictive_accuracy
0.8962618889626189
predictive_accuracy
0.8929440389294403
prior_entropy
0.52062781452543
prior_entropy
0.5200583010979982
prior_entropy
0.5207032647140379
prior_entropy
0.5207032647140379
prior_entropy
0.5207032647140379
prior_entropy
0.5207032647140379
prior_entropy
0.5207032647140379
prior_entropy
0.5207032647140379
prior_entropy
0.5207032647140379
prior_entropy
0.5207032647140379
recall
0.8942945599292349 [0.98272,0.226843]
recall
0.8973678389736784 [0.981718,0.25947]
recall
0.8978102189781022 [0.983968,0.247637]
recall
0.8964830789648308 [0.98021,0.26465]
recall
0.8989161689891617 [0.983717,0.258979]
recall
0.8920592789205928 [0.979709,0.230624]
recall
0.893828798938288 [0.982966,0.221172]
recall
0.896040698960407 [0.981713,0.249527]
recall
0.8962618889626189 [0.982715,0.243856]
recall
0.8929440389294404 [0.980962,0.228733]
relative_absolute_error
0.5116162290363385
relative_absolute_error
0.49710146225629515
relative_absolute_error
0.49455293253083193
relative_absolute_error
0.5009756978883751
relative_absolute_error
0.48920062806621245
relative_absolute_error
0.5223849157468528
relative_absolute_error
0.5138212286034617
relative_absolute_error
0.5031166196742229
relative_absolute_error
0.5020461587812991
relative_absolute_error
0.5181030721751572
root_mean_prior_squared_error
0.32140078546700224
root_mean_prior_squared_error
0.32116795412583954
root_mean_prior_squared_error
0.3214316187404526
root_mean_prior_squared_error
0.3214316187404526
root_mean_prior_squared_error
0.3214316187404526
root_mean_prior_squared_error
0.3214316187404526
root_mean_prior_squared_error
0.3214316187404526
root_mean_prior_squared_error
0.3214316187404526
root_mean_prior_squared_error
0.3214316187404526
root_mean_prior_squared_error
0.3214316187404526
root_mean_squared_error
0.32512373040238873
root_mean_squared_error
0.3203625462289898
root_mean_squared_error
0.31967136409428015
root_mean_squared_error
0.3217404560125587
root_mean_squared_error
0.31793683493870023
root_mean_squared_error
0.3285433321183177
root_mean_squared_error
0.32583922578736896
root_mean_squared_error
0.3224272026979005
root_mean_squared_error
0.32208401239021645
root_mean_squared_error
0.32719407248689514
root_relative_squared_error
1.0115834966923836
root_relative_squared_error
0.9974922532385215
root_relative_squared_error
0.9945237041300724
root_relative_squared_error
1.000960817959715
root_relative_squared_error
0.9891274423610008
root_relative_squared_error
1.0221251207511344
root_relative_squared_error
1.013712425256071
root_relative_squared_error
1.00309734294762
root_relative_squared_error
1.0020296498904504
root_relative_squared_error
1.017927463916036
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
usercpu_time_millis
89158.73065404594
usercpu_time_millis
89737.76279808953
usercpu_time_millis
90782.13312395383
usercpu_time_millis
90440.99189597182
usercpu_time_millis
91361.48730595596
usercpu_time_millis
89145.78391693067
usercpu_time_millis
94008.02651199047
usercpu_time_millis
93128.97954997607
usercpu_time_millis
91424.748311867
usercpu_time_millis
90690.44839707203
usercpu_time_millis_testing
5839.40081205219
usercpu_time_millis_testing
5873.433833010495
usercpu_time_millis_testing
5934.176209964789
usercpu_time_millis_testing
5881.097364006564
usercpu_time_millis_testing
5927.762946928851
usercpu_time_millis_testing
5885.612561949529
usercpu_time_millis_testing
5875.0253800535575
usercpu_time_millis_testing
5887.012918014079
usercpu_time_millis_testing
5871.729753911495
usercpu_time_millis_testing
5873.868694063276
usercpu_time_millis_training
83319.32984199375
usercpu_time_millis_training
83864.32896507904
usercpu_time_millis_training
84847.95691398904
usercpu_time_millis_training
84559.89453196526
usercpu_time_millis_training
85433.72435902711
usercpu_time_millis_training
83260.17135498114
usercpu_time_millis_training
88133.00113193691
usercpu_time_millis_training
87241.96663196199
usercpu_time_millis_training
85553.01855795551
usercpu_time_millis_training
84816.57970300876
wall_clock_time_millis
89160.06731987
wall_clock_time_millis
89738.78264427185
wall_clock_time_millis
90782.72080421448
wall_clock_time_millis
90441.68376922607
wall_clock_time_millis
91362.04361915588
wall_clock_time_millis
89146.09026908875
wall_clock_time_millis
94062.87288665771
wall_clock_time_millis
93129.53448295593
wall_clock_time_millis
91425.29106140137
wall_clock_time_millis
90693.95112991333
wall_clock_time_millis_testing
5839.447259902954
wall_clock_time_millis_testing
5873.477935791016
wall_clock_time_millis_testing
5934.20672416687
wall_clock_time_millis_testing
5881.133079528809
wall_clock_time_millis_testing
5927.793025970459
wall_clock_time_millis_testing
5885.642766952515
wall_clock_time_millis_testing
5878.708600997925
wall_clock_time_millis_testing
5887.052536010742
wall_clock_time_millis_testing
5871.772766113281
wall_clock_time_millis_testing
5873.923540115356
wall_clock_time_millis_training
83320.62005996704
wall_clock_time_millis_training
83865.30470848083
wall_clock_time_millis_training
84848.51408004761
wall_clock_time_millis_training
84560.55068969727
wall_clock_time_millis_training
85434.25059318542
wall_clock_time_millis_training
83260.44750213623
wall_clock_time_millis_training
88184.16428565979
wall_clock_time_millis_training
87242.48194694519
wall_clock_time_millis_training
85553.51829528809
wall_clock_time_millis_training
84820.02758979797