10327753
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)
8183406
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
1.0043634737642537
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6405586442727347
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.0011289263826813015
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
32419
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
21577192
description
https://api.openml.org/data/download/21577192/description.xml
-1
21577193
predictions
https://api.openml.org/data/download/21577193/predictions.arff
area_under_roc_curve
0.6911500240636649 [0.643163,0.5,0.907882,0.660522,0.5,0.5,0.741881]
average_cost
0
kappa
0.4151664252096849
kb_relative_information_score
0.4403984718917662
mean_absolute_error
0.1182012217560895
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
predictive_accuracy
0.5862957238536837
prior_entropy
2.4106995883230287
recall
0.5862957238536837 [0.338308,0,0.826087,0.870728,0,0,0.489474]
relative_absolute_error
0.5316145783771197
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.34380404557842176
root_relative_squared_error
1.0313180189825142
total_cost
0
area_under_roc_curve
0.6994635656682029 [0.6309,0.5,0.893548,0.692456,0.5,0.5,0.757476]
area_under_roc_curve
0.6935629441006781 [0.64132,0.5,0.980728,0.650194,0.5,0.5,0.655038]
area_under_roc_curve
0.7200786668528605 [0.677273,0.5,0.89421,0.701914,0.5,0.5,0.842105]
area_under_roc_curve
0.6735837639063446 [0.648539,0.5,0.874938,0.626634,0.5,0.5,0.736842]
area_under_roc_curve
0.6826025229251036 [0.636526,0.5,0.9134,0.637372,0.5,0.5,0.736842]
area_under_roc_curve
0.6763999221504936 [0.593506,0.5,0.907031,0.659126,0.5,0.5,0.707669]
area_under_roc_curve
0.6968084341363487 [0.673052,0.5,0.929446,0.644377,0.5,0.5,0.754586]
area_under_roc_curve
0.6959888371724796 [0.643019,0.5,0.868569,0.694559,0.5,0.5,0.757444]
area_under_roc_curve
0.6819010123734532 [0.651786,0.5,0.923077,0.638383,0.5,0.5,0.681353]
area_under_roc_curve
0.6912726085192431 [0.636526,0.5,0.89421,0.660771,0.5,0.5,0.789474]
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
kappa
0.43174176193678543
kappa
0.4185523752435187
kappa
0.47593141485011065
kappa
0.3800285735769606
kappa
0.40008296564468065
kappa
0.3869174535485836
kappa
0.4220244225393557
kappa
0.4231189069145933
kappa
0.3957520264184929
kappa
0.41717676217657446
kb_relative_information_score
0.45183455625274843
kb_relative_information_score
0.43962581120325306
kb_relative_information_score
0.4915247365141132
kb_relative_information_score
0.4179544666770269
kb_relative_information_score
0.43295755362011434
kb_relative_information_score
0.4174073120674876
kb_relative_information_score
0.4443149529777555
kb_relative_information_score
0.4432530983013509
kb_relative_information_score
0.4224894808209262
kb_relative_information_score
0.44276057324162355
mean_absolute_error
0.11428571428571427
mean_absolute_error
0.11782032400589099
mean_absolute_error
0.10603829160530193
mean_absolute_error
0.12518409425625915
mean_absolute_error
0.12076583210603825
mean_absolute_error
0.12223858615611188
mean_absolute_error
0.11929307805596462
mean_absolute_error
0.11634756995581735
mean_absolute_error
0.12223858615611188
mean_absolute_error
0.11782032400589099
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
0.2225204355964957
mean_prior_absolute_error
0.2225204355964957
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]
predictive_accuracy
0.6
predictive_accuracy
0.5876288659793815
predictive_accuracy
0.6288659793814433
predictive_accuracy
0.5618556701030928
predictive_accuracy
0.577319587628866
predictive_accuracy
0.5721649484536083
predictive_accuracy
0.5824742268041238
predictive_accuracy
0.5927835051546392
predictive_accuracy
0.5721649484536083
predictive_accuracy
0.5876288659793815
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
0.6 [0.268293,0,0.8,0.955224,0,0,0.526316]
recall
0.5876288659793815 [0.341463,0,0.974359,0.835821,0,0,0.315789]
recall
0.6288659793814433 [0.4,0,0.794872,0.911765,0,0,0.684211]
recall
0.5618556701030928 [0.375,0,0.769231,0.808824,0,0,0.473684]
recall
0.5773195876288659 [0.325,0,0.846154,0.838235,0,0,0.473684]
recall
0.5721649484536082 [0.2,0,0.820513,0.940299,0,0,0.421053]
recall
0.5824742268041238 [0.45,0,0.871795,0.761194,0,0,0.526316]
recall
0.5927835051546392 [0.325,0,0.74359,0.940299,0,0,0.526316]
recall
0.5721649484536082 [0.375,0,0.846154,0.835821,0,0,0.368421]
recall
0.5876288659793815 [0.325,0,0.794872,0.880597,0,0,0.578947]
relative_absolute_error
0.5139824302062436
relative_absolute_error
0.5301058919174495
relative_absolute_error
0.47753551146036194
relative_absolute_error
0.5637572010295936
relative_absolute_error
0.5438598880520786
relative_absolute_error
0.549336450058778
relative_absolute_error
0.5360994271657955
relative_absolute_error
0.5228624042728128
relative_absolute_error
0.549336450058778
relative_absolute_error
0.5293262502887106
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
0.3336285314054271
root_mean_prior_squared_error
0.33372595925955534
root_mean_squared_error
0.3380617018914066
root_mean_squared_error
0.34324965259398443
root_mean_squared_error
0.3256352124775543
root_mean_squared_error
0.3538136434003911
root_mean_squared_error
0.3475137869294372
root_mean_squared_error
0.3496263522049102
root_mean_squared_error
0.34538830040400126
root_mean_squared_error
0.34109759593966266
root_mean_squared_error
0.3496263522049102
root_mean_squared_error
0.34324965259398443
root_relative_squared_error
1.014049137708356
root_relative_squared_error
1.0300524153293855
root_relative_squared_error
0.9780962591718376
root_relative_squared_error
1.0627345808854594
root_relative_squared_error
1.0438119772742658
root_relative_squared_error
1.0479509972725998
root_relative_squared_error
1.0352480914897644
root_relative_squared_error
1.022387367479549
root_relative_squared_error
1.0479509972725998
root_relative_squared_error
1.0285374663558076
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
316.85748299059924
usercpu_time_millis
315.14684700232465
usercpu_time_millis
310.78209699626314
usercpu_time_millis
309.95611799153266
usercpu_time_millis
314.73355799971614
usercpu_time_millis
311.72235600388376
usercpu_time_millis
317.26883300143527
usercpu_time_millis
311.3654859989765
usercpu_time_millis
314.7682580020046
usercpu_time_millis
311.0417870047968
usercpu_time_millis_testing
30.171510996297002
usercpu_time_millis_testing
27.45382000284735
usercpu_time_millis_testing
27.265240998531226
usercpu_time_millis_testing
27.371396994567476
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
286.68597199430224
usercpu_time_millis_training
287.6930269994773
usercpu_time_millis_training
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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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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
460.91151237487793
wall_clock_time_millis
315.2031898498535
wall_clock_time_millis
310.8325004577637
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
311.1867904663086
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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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
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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