10327494
8323
Heinrich Peters
146817
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8183160
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
1057.9791749365027
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5918454375525388
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.037153618092999184
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
15520
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.
40982
steel-plates-fault
https://www.openml.org/data/download/18151921/php5s7Ep8
-1
21576674
description
https://api.openml.org/data/download/21576674/description.xml
-1
21576675
predictions
https://api.openml.org/data/download/21576675/predictions.arff
area_under_roc_curve
0.5425455626823216 [0.578567,0.503524,0.621746,0.47874,0.523714,0.495452,0.574155]
average_cost
0
f_measure
0.30949323207028057 [0.332512,0.025974,0.39698,0.3674,0.097826,0,0.251012]
kappa
0.09709079458170627
kb_relative_information_score
0.185062645785903
mean_absolute_error
0.19091778906307205
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.3328451180503438 [0.329268,0.045455,0.343284,0.325315,0.346154,0,0.54386]
predictive_accuracy
0.33178773827923747
prior_entropy
2.4106995883230287
recall
0.3317877382792375 [0.335821,0.018182,0.470588,0.421991,0.056962,0,0.163158]
relative_absolute_error
0.8586601595954155
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.43694140232194983
root_relative_squared_error
1.3107045924837066
total_cost
0
area_under_roc_curve
0.5472456575526491 [0.626148,0.489474,0.609274,0.440823,0.533333,0.494652,0.670006]
area_under_roc_curve
0.5412784897784532 [0.635422,0.5,0.621009,0.45305,0.528441,0.497326,0.523459]
area_under_roc_curve
0.5625692621771764 [0.537338,0.5,0.665922,0.528361,0.494382,0.491979,0.625865]
area_under_roc_curve
0.5324936536353717 [0.540097,0.489418,0.605045,0.47514,0.497191,0.5,0.625865]
area_under_roc_curve
0.539074561658405 [0.56461,0.497354,0.627543,0.468954,0.559691,0.494652,0.564662]
area_under_roc_curve
0.5447514829491968 [0.584091,0.575355,0.61464,0.48102,0.579705,0.5,0.520602]
area_under_roc_curve
0.5314749687339203 [0.56461,0.49734,0.646816,0.457809,0.488764,0.497326,0.54406]
area_under_roc_curve
0.5641724939401311 [0.574838,0.49734,0.624235,0.53367,0.53125,0.489305,0.602406]
area_under_roc_curve
0.5089481003469916 [0.547078,0.494681,0.576096,0.441239,0.5,0.494652,0.546917]
area_under_roc_curve
0.5537879234829592 [0.609578,0.486702,0.627461,0.507345,0.524953,0.494624,0.517744]
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
0.32661343332014603 [0.409639,0,0.382022,0.315789,0.125,0,0.451613]
f_measure
0.30755943419760967 [0.318182,0,0.404494,0.346667,0.210526,0,0.222222]
f_measure
0.2861138676026487 [0.318182,0,0.431818,0.339869,0,0,0.166667]
f_measure
0.33778336076698723 [0.325,0,0.4,0.428571,0.117647,0,0.333333]
f_measure
0.3125480441600371 [0.379747,0,0.404255,0.394737,0.105263,0,0.086957]
kappa
0.11329267862807994
kappa
0.09721515305751473
kappa
0.13442717328727688
kappa
0.07708941507189965
kappa
0.09141610954202568
kappa
0.10185185185185187
kappa
0.07423486778371785
kappa
0.1370973527512734
kappa
0.02852166340082732
kappa
0.11484993227347258
kb_relative_information_score
0.20396114446308608
kb_relative_information_score
0.1906885549438115
kb_relative_information_score
0.21324491493165343
kb_relative_information_score
0.17209982005475793
kb_relative_information_score
0.18177810550944307
kb_relative_information_score
0.19022752785685879
kb_relative_information_score
0.16383043501521638
kb_relative_information_score
0.2131481168242018
kb_relative_information_score
0.13387102691462244
kb_relative_information_score
0.18787182744042816
mean_absolute_error
0.18901098901098873
mean_absolute_error
0.18851251840942537
mean_absolute_error
0.18262150220913084
mean_absolute_error
0.1944035346097199
mean_absolute_error
0.19293078055964627
mean_absolute_error
0.19145802650957264
mean_absolute_error
0.19587628865979353
mean_absolute_error
0.18262150220913084
mean_absolute_error
0.2032400589101617
mean_absolute_error
0.18851251840942537
mean_prior_absolute_error
0.22235334822603825
mean_prior_absolute_error
0.2222580918309025
mean_prior_absolute_error
0.22205320664221154
mean_prior_absolute_error
0.22205320664221154
mean_prior_absolute_error
0.22205320664221154
mean_prior_absolute_error
0.2225204355964957
mean_prior_absolute_error
0.2225204355964957
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.2225854545124641
number_of_instances
195 [41,5,40,67,15,8,19]
number_of_instances
194 [41,5,39,67,16,7,19]
number_of_instances
194 [40,5,39,68,16,7,19]
number_of_instances
194 [40,5,39,68,16,7,19]
number_of_instances
194 [40,5,39,68,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,15,8,19]
precision
0.38704497183488773 [0.404762,0,0.346939,0.282353,1,0,0.583333]
precision
0.3353572625932445 [0.291667,0,0.36,0.317073,0.666667,0,0.375]
precision
0.28167489484405606 [0.291667,0,0.387755,0.302326,0,0,0.4]
precision
0.42704090701335634 [0.325,0,0.339286,0.37931,1,0,0.8]
precision
0.31445567773645394 [0.384615,0,0.345455,0.352941,0.25,0,0.25]
predictive_accuracy
0.3384615384615385
predictive_accuracy
0.3402061855670103
predictive_accuracy
0.36082474226804123
predictive_accuracy
0.31958762886597936
predictive_accuracy
0.32474226804123707
predictive_accuracy
0.3298969072164948
predictive_accuracy
0.31443298969072164
predictive_accuracy
0.36082474226804123
predictive_accuracy
0.288659793814433
predictive_accuracy
0.3402061855670103
prior_entropy
2.4086971702017688
prior_entropy
2.4034011426545026
prior_entropy
2.3995765614552553
prior_entropy
2.3995765614552553
prior_entropy
2.3995765614552553
prior_entropy
2.4180778493888857
prior_entropy
2.4180778493888857
prior_entropy
2.4180778493888857
prior_entropy
2.4180778493888857
prior_entropy
2.4238668101950935
recall
0.3384615384615385 [0.414634,0,0.425,0.358209,0.066667,0,0.368421]
recall
0.3402061855670103 [0.414634,0,0.487179,0.41791,0.0625,0,0.052632]
recall
0.36082474226804123 [0.25,0,0.564103,0.485294,0,0,0.263158]
recall
0.31958762886597936 [0.275,0,0.435897,0.426471,0,0,0.263158]
recall
0.3247422680412371 [0.35,0,0.461538,0.382353,0.125,0,0.157895]
recall
0.32989690721649484 [0.35,0.166667,0.461538,0.402985,0.1875,0,0.052632]
recall
0.31443298969072164 [0.35,0,0.487179,0.38806,0,0,0.105263]
recall
0.36082474226804123 [0.325,0,0.487179,0.492537,0.0625,0,0.210526]
recall
0.28865979381443296 [0.25,0,0.410256,0.41791,0,0,0.105263]
recall
0.3402061855670103 [0.375,0,0.487179,0.447761,0.066667,0,0.052632]
relative_absolute_error
0.850047865341094
relative_absolute_error
0.8481694270679185
relative_absolute_error
0.8224222697372889
relative_absolute_error
0.8754817710106623
relative_absolute_error
0.8688493333514906
relative_absolute_error
0.8604064880438683
relative_absolute_error
0.8802620223833422
relative_absolute_error
0.8206954193649206
relative_absolute_error
0.9133545796157985
relative_absolute_error
0.8469220004619362
root_mean_prior_squared_error
0.33337802806616484
root_mean_prior_squared_error
0.3332351320046385
root_mean_prior_squared_error
0.33292757172312704
root_mean_prior_squared_error
0.33292757172312704
root_mean_prior_squared_error
0.33292757172312704
root_mean_prior_squared_error
0.3336285314054271
root_mean_prior_squared_error
0.3336285314054271
root_mean_prior_squared_error
0.3336285314054271
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
0.43475394076533536
root_mean_squared_error
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root_mean_squared_error
0.4273423711839616
root_mean_squared_error
0.44091216201157335
root_mean_squared_error
0.4392388650377449
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.4273423711839616
root_mean_squared_error
0.4508215377620746
root_mean_squared_error
0.4341802833034054
root_relative_squared_error
1.3040869648405582
root_relative_squared_error
1.3029246967194377
root_relative_squared_error
1.2835896077100903
root_relative_squared_error
1.3243485954904621
root_relative_squared_error
1.3193225864844549
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
1.2808927623298887
root_relative_squared_error
1.351267938215494
root_relative_squared_error
1.3010084210012616
total_cost
0
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total_cost
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usercpu_time_millis
178.94318600156112
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174.77792700083228
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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