10229085
8323
Heinrich Peters
7592
Supervised Classification
13293
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkc_eigenpro=sklearn_extra.fast_kernel.FKC_EigenPro)(1)
8154184
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
bandwidth
8
13292
batch_size
"auto"
13292
coef0
1
13292
degree
3
13292
gamma
null
13292
kernel
"rbf"
13292
kernel_params
null
13292
n_components
1000
13292
n_epoch
2
13292
random_state
50480
13292
subsample_size
"auto"
13292
memory
null
13293
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fkc_eigenpro", "step_name": "fkc_eigenpro"}}]
13293
verbose
false
13293
copy
true
13294
with_mean
true
13294
with_std
true
13294
openml-python
Sklearn_0.21.2.
1590
adult
https://www.openml.org/data/download/1595261/phpMawTba
-1
21379599
description
https://api.openml.org/data/download/21379599/description.xml
-1
21379600
predictions
https://api.openml.org/data/download/21379600/predictions.arff
area_under_roc_curve
0.7643945703167294 [0.764395,0.764395]
average_cost
0
f_measure
0.8423686595261277 [0.654389,0.901497]
kappa
0.5566716263236223
kb_relative_information_score
0.525350362776423
mean_absolute_error
0.1533106752385242
mean_prior_absolute_error
0.3640575712202595
number_of_instances
48842 [11687,37155]
precision
0.8406991507321296 [0.710392,0.881687]
predictive_accuracy
0.8466893247614757
prior_entropy
0.7938438398153179
recall
0.8466893247614757 [0.606571,0.922218]
relative_absolute_error
0.4211165688016121
root_mean_prior_squared_error
0.426645054364785
root_mean_squared_error
0.39154907130336064
root_relative_squared_error
0.9177396228964205
total_cost
0
area_under_roc_curve
0.7619089439144163 [0.761909,0.761909]
area_under_roc_curve
0.76184655907315 [0.761847,0.761847]
area_under_roc_curve
0.763022177330168 [0.763022,0.763022]
area_under_roc_curve
0.763486662636212 [0.763487,0.763487]
area_under_roc_curve
0.765211432974033 [0.765211,0.765211]
area_under_roc_curve
0.7679196884063061 [0.76792,0.76792]
area_under_roc_curve
0.7586833255235347 [0.758683,0.758683]
area_under_roc_curve
0.7608128100653143 [0.760813,0.760813]
area_under_roc_curve
0.774427879484254 [0.774428,0.774428]
area_under_roc_curve
0.7666274449754595 [0.766627,0.766627]
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
0.8414017184402717 [0.651206,0.901235]
f_measure
0.840300637677104 [0.650069,0.900145]
f_measure
0.8420822266104028 [0.652758,0.90159]
f_measure
0.8399890688686101 [0.65112,0.899354]
f_measure
0.8426619491008251 [0.6553,0.901553]
f_measure
0.8423659740556568 [0.657572,0.900515]
f_measure
0.8387153209172926 [0.645669,0.899461]
f_measure
0.8419316912314494 [0.650771,0.902084]
f_measure
0.8505217810854385 [0.671607,0.906821]
f_measure
0.8436915487725016 [0.657761,0.902198]
kappa
0.5533417780681854
kappa
0.550991726980048
kappa
0.5552163515668582
kappa
0.5510750369476939
kappa
0.5575919806316793
kappa
0.5585992710317703
kappa
0.5460159106948097
kappa
0.5539380287310844
kappa
0.5792487329184576
kappa
0.5607024669728954
kb_relative_information_score
0.5234222736247819
kb_relative_information_score
0.5189860447888429
kb_relative_information_score
0.5250708522917268
kb_relative_information_score
0.51619367196073
kb_relative_information_score
0.5257049366010819
kb_relative_information_score
0.5227399668387577
kb_relative_information_score
0.5151342292584989
kb_relative_information_score
0.5265428356288876
kb_relative_information_score
0.550627671299708
kb_relative_information_score
0.5290780814889732
mean_absolute_error
0.15394063459570112
mean_absolute_error
0.15537359263050154
mean_absolute_error
0.15335790335790336
mean_absolute_error
0.15622440622440623
mean_absolute_error
0.15315315315315314
mean_absolute_error
0.1541769041769042
mean_absolute_error
0.15663390663390664
mean_absolute_error
0.15294840294840295
mean_absolute_error
0.14516789516789516
mean_absolute_error
0.15212940212940212
mean_prior_absolute_error
0.3640691602542745
mean_prior_absolute_error
0.3640691602542745
mean_prior_absolute_error
0.36398794846096894
mean_prior_absolute_error
0.36398794846096894
mean_prior_absolute_error
0.36398794846096894
mean_prior_absolute_error
0.36409470831304036
mean_prior_absolute_error
0.36409470831304036
mean_prior_absolute_error
0.36409470831304036
mean_prior_absolute_error
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mean_prior_absolute_error
0.36409470831304036
number_of_instances
4885 [1169,3716]
number_of_instances
4885 [1169,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
precision
0.8397648564271455 [0.711246,0.880195]
precision
0.8385525687992422 [0.705,0.880566]
precision
0.8404466302056093 [0.71183,0.880873]
precision
0.8381837045661635 [0.698724,0.882018]
precision
0.8409771514797938 [0.709581,0.882277]
precision
0.8406338100403276 [0.701942,0.884276]
precision
0.8369615483251847 [0.70404,0.878788]
precision
0.8404660991090093 [0.717526,0.879152]
precision
0.8492005978523698 [0.732323,0.885978]
precision
0.8420503016716309 [0.712575,0.882792]
predictive_accuracy
0.8460593654042989
predictive_accuracy
0.8446264073694985
predictive_accuracy
0.8466420966420967
predictive_accuracy
0.8437755937755937
predictive_accuracy
0.8468468468468469
predictive_accuracy
0.8458230958230958
predictive_accuracy
0.8433660933660935
predictive_accuracy
0.847051597051597
predictive_accuracy
0.8548321048321048
predictive_accuracy
0.8478705978705979
prior_entropy
0.7938809255859894
prior_entropy
0.7938809255859894
prior_entropy
0.7936210418137764
prior_entropy
0.7936210418137764
prior_entropy
0.7936210418137764
prior_entropy
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prior_entropy
0.7939626812721351
prior_entropy
0.7939626812721351
prior_entropy
0.7939626812721351
prior_entropy
0.7939626812721351
recall
0.8460593654042988 [0.600513,0.923305]
recall
0.8446264073694985 [0.60308,0.920614]
recall
0.8466420966420967 [0.60274,0.923305]
recall
0.8437755937755937 [0.609589,0.917384]
recall
0.8468468468468469 [0.608733,0.92169]
recall
0.8458230958230958 [0.618477,0.917362]
recall
0.8433660933660934 [0.596236,0.921131]
recall
0.847051597051597 [0.595381,0.926245]
recall
0.8548321048321048 [0.620188,0.928668]
recall
0.8478705978705978 [0.610778,0.922476]
relative_absolute_error
0.42283349264789516
relative_absolute_error
0.4267694427124367
relative_absolute_error
0.4213268708657485
relative_absolute_error
0.42920213948006153
relative_absolute_error
0.4207643516790117
relative_absolute_error
0.4234527463781385
relative_absolute_error
0.4302009973164356
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
0.426658635735979
root_mean_prior_squared_error
0.426658635735979
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.42656345325728656
root_mean_prior_squared_error
0.42656345325728656
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.42668857438048746
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
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_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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root_relative_squared_error
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root_relative_squared_error
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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