10396658
8323
Heinrich Peters
3904
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8231709
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
0.7572726382539152
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.4813122570452757
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.06810078725839559
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
memory
null
16345
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": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1053
jm1
https://www.openml.org/data/download/53936/jm1.arff
-1
21715048
description
https://api.openml.org/data/download/21715048/description.xml
-1
21715049
predictions
https://api.openml.org/data/download/21715049/predictions.arff
area_under_roc_curve
0.550146214629641 [0.550146,0.550146]
average_cost
0
f_measure
0.7607410015448702 [0.895968,0.197036]
kappa
0.1452447744685072
kb_relative_information_score
0.3035187007992307
mean_absolute_error
0.18419843821773083
mean_prior_absolute_error
0.31212214303703906
number_of_instances
10885 [8779,2106]
precision
0.7852986914838287 [0.822756,0.629156]
predictive_accuracy
0.8158015617822691
prior_entropy
0.7086892261862012
recall
0.8158015617822691 [0.983483,0.116809]
relative_absolute_error
0.5901485758922022
root_mean_prior_squared_error
0.3950238150239175
root_mean_squared_error
0.42918345520037327
root_relative_squared_error
1.0864748880377946
total_cost
0
area_under_roc_curve
0.5596087618348465 [0.559609,0.559609]
area_under_roc_curve
0.5452989884377463 [0.545299,0.545299]
area_under_roc_curve
0.5731655313130877 [0.573166,0.573166]
area_under_roc_curve
0.5471909445206145 [0.547191,0.547191]
area_under_roc_curve
0.5412208919452871 [0.541221,0.541221]
area_under_roc_curve
0.5373684781429656 [0.537368,0.537368]
area_under_roc_curve
0.5413548107169975 [0.541355,0.541355]
area_under_roc_curve
0.5585909534656688 [0.558591,0.558591]
area_under_roc_curve
0.552793144592689 [0.552793,0.552793]
area_under_roc_curve
0.5448102373991472 [0.54481,0.54481]
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
0.767084624207738 [0.896982,0.226563]
f_measure
0.7572051537840534 [0.896017,0.179592]
f_measure
0.7775270766153429 [0.901042,0.263566]
f_measure
0.7577535275071384 [0.894081,0.190476]
f_measure
0.7535975857568408 [0.893837,0.17004]
f_measure
0.7510560441550467 [0.892116,0.16129]
f_measure
0.7551945505597781 [0.896124,0.165975]
f_measure
0.7684424773555036 [0.899948,0.218623]
f_measure
0.7629275202804615 [0.89605,0.206349]
f_measure
0.7557670197742263 [0.893506,0.183267]
kappa
0.17002702140927062
kappa
0.1329652178390777
kappa
0.20762997457185742
kappa
0.13600336022028126
kappa
0.12035887797439616
kappa
0.10856206472757059
kappa
0.12239754723341428
kappa
0.1706662032575557
kappa
0.15177596906477045
kappa
0.12945731593080603
kb_relative_information_score
0.3130745828603305
kb_relative_information_score
0.30266662199457817
kb_relative_information_score
0.34082914516900886
kb_relative_information_score
0.2922586611288256
kb_relative_information_score
0.28878934084024194
kb_relative_information_score
0.27616095953505654
kb_relative_information_score
0.30052092724301166
kb_relative_information_score
0.32836089033781896
kb_relative_information_score
0.30400092262986195
kb_relative_information_score
0.28850349053690555
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.18457300275482094
mean_absolute_error
0.17447199265381083
mean_absolute_error
0.18732782369146006
mean_absolute_error
0.18824609733700642
mean_absolute_error
0.19117647058823528
mean_absolute_error
0.18474264705882354
mean_absolute_error
0.17738970588235295
mean_absolute_error
0.18382352941176472
mean_absolute_error
0.18841911764705882
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
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mean_prior_absolute_error
0.3118386270187333
mean_prior_absolute_error
0.3124019844228689
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [877,211]
precision
0.7905569100971399 [0.82567,0.644444]
precision
0.7871794458255669 [0.820853,0.647059]
precision
0.8094547872574803 [0.830134,0.723404]
precision
0.7757999674817265 [0.821565,0.585366]
precision
0.7737922695835154 [0.819563,0.583333]
precision
0.7625460710600029 [0.819048,0.526316]
precision
0.7864520594608277 [0.820246,0.645161]
precision
0.8073216760024141 [0.82588,0.72973]
precision
0.784515240130469 [0.824092,0.619048]
precision
0.772978467388864 [0.820611,0.575]
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.815426997245179
predictive_accuracy
0.8255280073461891
predictive_accuracy
0.8126721763085399
predictive_accuracy
0.8117539026629936
predictive_accuracy
0.8088235294117646
predictive_accuracy
0.8152573529411765
predictive_accuracy
0.8226102941176471
predictive_accuracy
0.8161764705882354
predictive_accuracy
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prior_entropy
0.7092626186985694
prior_entropy
0.7092626186985694
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
0.7077368083817637
prior_entropy
0.7096292997655923
recall
0.8181818181818182 [0.981777,0.137441]
recall
0.8154269972451791 [0.986333,0.104265]
recall
0.8255280073461891 [0.985194,0.161137]
recall
0.8126721763085399 [0.980638,0.113744]
recall
0.8117539026629935 [0.982916,0.099526]
recall
0.8088235294117647 [0.979499,0.095238]
recall
0.8152573529411765 [0.987472,0.095238]
recall
0.8226102941176471 [0.98861,0.128571]
recall
0.8161764705882353 [0.981777,0.12381]
recall
0.8115808823529411 [0.980616,0.109005]
relative_absolute_error
0.5822041492753851
relative_absolute_error
0.5910254242644061
relative_absolute_error
0.5586807493046625
relative_absolute_error
0.599846699253427
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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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
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.395239803273359
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.395239803273359
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_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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