10327827
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)
8183480
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
15166.498096109495
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6657712802767766
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.04496747764690361
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
8618
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
21577340
description
https://api.openml.org/data/download/21577340/description.xml
-1
21577341
predictions
https://api.openml.org/data/download/21577341/predictions.arff
area_under_roc_curve
0.8237707569230444 [0.777935,0.897349,0.958019,0.745195,0.756448,0.948714,0.91014]
average_cost
0
f_measure
0.7334213845182117 [0.633918,0.807339,0.925599,0.666154,0.573333,0.884354,0.84127]
kappa
0.6592994649786916
kb_relative_information_score
0.703510554325625
mean_absolute_error
0.0759549569441381
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7345756660613628 [0.598234,0.814815,0.912935,0.69059,0.605634,0.866667,0.845745]
predictive_accuracy
0.7341576506955179
prior_entropy
2.4106995883230287
recall
0.7341576506955177 [0.674129,0.8,0.938619,0.643388,0.544304,0.902778,0.836842]
relative_absolute_error
0.3416103641875429
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.2755992687656085
root_relative_squared_error
0.826722359878525
total_cost
0
area_under_roc_curve
0.8229650333985011 [0.809867,1,0.946371,0.728195,0.719444,0.9375,0.91253]
area_under_roc_curve
0.8070272495120678 [0.718396,0.9,0.945409,0.741744,0.755969,1,0.89188]
area_under_roc_curve
0.8724484005382882 [0.816558,1,0.987179,0.833567,0.713132,1,0.947368]
area_under_roc_curve
0.8158771180626926 [0.776299,0.997354,0.945409,0.73226,0.730337,0.928571,0.915338]
area_under_roc_curve
0.8315479515986947 [0.829058,0.897354,0.95823,0.737395,0.738764,1,0.912481]
area_under_roc_curve
0.817903343218808 [0.769805,0.661348,0.955087,0.749618,0.727528,0.994652,0.938797]
area_under_roc_curve
0.8056419214816953 [0.738312,0.916667,0.955004,0.738218,0.704705,0.92055,0.886165]
area_under_roc_curve
0.8002081799509561 [0.679058,0.916667,0.964682,0.696968,0.826896,0.994652,0.950827]
area_under_roc_curve
0.8182514938164799 [0.809578,0.989362,0.967907,0.739041,0.801264,0.714286,0.807218]
area_under_roc_curve
0.8456965908577704 [0.832792,0.744681,0.955087,0.753966,0.849907,0.991935,0.938797]
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
0.7310530192481411 [0.666667,1,0.902439,0.64,0.518519,0.933333,0.842105]
f_measure
0.7131673484504489 [0.554217,0.888889,0.9,0.661654,0.529412,1,0.857143]
f_measure
0.8138560284279691 [0.681818,1,0.987013,0.782609,0.56,1,0.944444]
f_measure
0.7257857125111312 [0.641975,0.909091,0.9,0.651852,0.516129,0.923077,0.864865]
f_measure
0.7436219345969722 [0.696629,0.8,0.91358,0.65625,0.571429,1,0.842105]
f_measure
0.7197139669241067 [0.626506,0.4,0.935065,0.671756,0.5,0.875,0.871795]
f_measure
0.7032079162684526 [0.578313,0.909091,0.902439,0.656489,0.5,0.75,0.810811]
f_measure
0.689755699072518 [0.493506,0.909091,0.936709,0.598425,0.666667,0.875,0.8]
f_measure
0.7208025491259987 [0.652632,0.75,0.948718,0.656,0.666667,0.6,0.705882]
f_measure
0.7610280711360069 [0.722892,0.545455,0.935065,0.677165,0.6875,0.842105,0.871795]
kappa
0.6586433260393872
kappa
0.6283524904214559
kappa
0.7586147305844537
kappa
0.6477198752869427
kappa
0.6759060379802939
kappa
0.6439520103320532
kappa
0.622902741781476
kappa
0.6148332604233266
kappa
0.6441455212473249
kappa
0.6991335423620242
kb_relative_information_score
0.7081894896866209
kb_relative_information_score
0.6794101213285341
kb_relative_information_score
0.7865521077621013
kb_relative_information_score
0.6969806339392995
kb_relative_information_score
0.7206484959233599
kb_relative_information_score
0.677525973035313
kb_relative_information_score
0.6673718429893372
kb_relative_information_score
0.6811960458768668
kb_relative_information_score
0.6790194036847825
kb_relative_information_score
0.7386915869514776
mean_absolute_error
0.07619047619047627
mean_absolute_error
0.0824742268041238
mean_absolute_error
0.05301914580265097
mean_absolute_error
0.07805596465390288
mean_absolute_error
0.07216494845360831
mean_absolute_error
0.07952871870397651
mean_absolute_error
0.08394698085419744
mean_absolute_error
0.0868924889543447
mean_absolute_error
0.07952871870397651
mean_absolute_error
0.06774668630338739
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]
precision
0.7366015358057799 [0.596154,1,0.880952,0.689655,0.583333,1,0.842105]
precision
0.717399227103464 [0.547619,1,0.878049,0.666667,0.5,1,0.9375]
precision
0.8242349860906563 [0.625,1,1,0.771429,0.777778,1,1]
precision
0.7260585639400016 [0.634146,0.833333,0.878049,0.656716,0.533333,1,0.888889]
precision
0.747061505014377 [0.632653,0.8,0.880952,0.7,0.666667,1,0.842105]
precision
0.7205688627686855 [0.604651,0.5,0.947368,0.6875,0.5,0.777778,0.85]
precision
0.7048076250699273 [0.55814,1,0.860465,0.671875,0.583333,0.666667,0.833333]
precision
0.6907221940651292 [0.513514,1,0.925,0.633333,0.647059,0.777778,0.692308]
precision
0.7429695615440371 [0.563636,0.6,0.948718,0.706897,0.714286,1,0.8]
precision
0.7636344123867441 [0.697674,0.6,0.947368,0.716667,0.647059,0.727273,0.85]
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.711340206185567
predictive_accuracy
0.8144329896907216
predictive_accuracy
0.7268041237113403
predictive_accuracy
0.7474226804123711
predictive_accuracy
0.7216494845360825
predictive_accuracy
0.7061855670103092
predictive_accuracy
0.6958762886597938
predictive_accuracy
0.7216494845360825
predictive_accuracy
0.7628865979381443
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
0.7333333333333333 [0.756098,1,0.925,0.597015,0.466667,0.875,0.842105]
recall
0.711340206185567 [0.560976,0.8,0.923077,0.656716,0.5625,1,0.789474]
recall
0.8144329896907216 [0.75,1,0.974359,0.794118,0.4375,1,0.894737]
recall
0.7268041237113402 [0.65,1,0.923077,0.647059,0.5,0.857143,0.842105]
recall
0.7474226804123711 [0.775,0.8,0.948718,0.617647,0.5,1,0.842105]
recall
0.7216494845360825 [0.65,0.333333,0.923077,0.656716,0.5,1,0.894737]
recall
0.7061855670103093 [0.6,0.833333,0.948718,0.641791,0.4375,0.857143,0.789474]
recall
0.6958762886597938 [0.475,0.833333,0.948718,0.567164,0.6875,1,0.947368]
recall
0.7216494845360825 [0.775,1,0.948718,0.61194,0.625,0.428571,0.631579]
recall
0.7628865979381443 [0.75,0.5,0.923077,0.641791,0.733333,1,0.894737]
relative_absolute_error
0.3426549534708294
relative_absolute_error
0.3710741243422152
relative_absolute_error
0.238767755730181
relative_absolute_error
0.3515191959361001
relative_absolute_error
0.32498944529941326
relative_absolute_error
0.3573996181105308
relative_absolute_error
0.37725515245000474
relative_absolute_error
0.39049217534298725
relative_absolute_error
0.3573996181105308
relative_absolute_error
0.30436259391600895
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
0.2760262237369418
root_mean_squared_error
0.28718326344709544
root_mean_squared_error
0.2302588669360009
root_mean_squared_error
0.27938497571255133
root_mean_squared_error
0.2686353447586678
root_mean_squared_error
0.28200836637230553
root_mean_squared_error
0.2897360537699743
root_mean_squared_error
0.29477531944575125
root_mean_squared_error
0.28200836637230553
root_mean_squared_error
0.2602819361834151
root_relative_squared_error
0.827967653831582
root_relative_squared_error
0.8618036811409727
root_relative_squared_error
0.6916184975136014
root_relative_squared_error
0.8391764438930177
root_relative_squared_error
0.8068882470992018
root_relative_squared_error
0.8452765271133467
root_relative_squared_error
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root_relative_squared_error
0.8835434973261889
root_relative_squared_error
0.8452765271133467
root_relative_squared_error
0.7799271496916452
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
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total_cost
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usercpu_time_millis
406.70280899939826
usercpu_time_millis
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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_training
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wall_clock_time_millis
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wall_clock_time_millis
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