10327768
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)
8183421
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
0.5918080154931042
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.470341592072858
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.007713854313651463
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
9129
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
21577222
description
https://api.openml.org/data/download/21577222/description.xml
-1
21577223
predictions
https://api.openml.org/data/download/21577223/predictions.arff
area_under_roc_curve
0.752001220536515 [0.718624,0.5,0.936672,0.699256,0.502884,0.791132,0.894698]
average_cost
0
kappa
0.5330733800956702
kb_relative_information_score
0.5537248300720731
mean_absolute_error
0.09847648487524809
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
predictive_accuracy
0.6553323029366307
prior_entropy
2.4106995883230287
recall
0.6553323029366306 [0.537313,0,0.879795,0.76523,0.006329,0.583333,0.810526]
relative_absolute_error
0.44290180938268314
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.3138096315845772
root_relative_squared_error
0.9413429880935389
total_cost
0
area_under_roc_curve
0.7741686740678676 [0.73828,0.5,0.934274,0.738573,0.5,0.8125,0.91253]
area_under_roc_curve
0.7421517566471175 [0.730591,0.5,0.971133,0.654719,0.5,0.714286,0.883308]
area_under_roc_curve
0.7627128427128427 [0.732792,0.5,0.935897,0.73261,0.5,0.714286,0.886165]
area_under_roc_curve
0.736362239910627 [0.673052,0.5,0.916625,0.679972,0.5,0.857143,0.918195]
area_under_roc_curve
0.7577251780477585 [0.717045,0.5,0.951861,0.703782,0.5,0.785714,0.912481]
area_under_roc_curve
0.7698602046401953 [0.770779,0.5,0.935897,0.721883,0.53125,0.854469,0.851278]
area_under_roc_curve
0.7532247178780072 [0.741071,0.5,0.951861,0.682689,0.5,0.857143,0.874737]
area_under_roc_curve
0.734748951835566 [0.644805,0.5,0.910256,0.695146,0.5,0.857143,0.930226]
area_under_roc_curve
0.7349394560973995 [0.698052,0.5,0.948718,0.683335,0.5,0.640183,0.862707]
area_under_roc_curve
0.7538147415422741 [0.738799,0.5,0.910256,0.699083,0.497207,0.8125,0.915338]
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
0.5763134461264471
kappa
0.5134709085697907
kappa
0.5551592356687899
kappa
0.5070601473737704
kappa
0.5452578434908041
kappa
0.5681459141174782
kappa
0.5279139481572915
kappa
0.49807754500700707
kappa
0.4998184327111627
kappa
0.5389435022145403
kb_relative_information_score
0.5899418672667122
kb_relative_information_score
0.5377009090687496
kb_relative_information_score
0.5650244968758706
kb_relative_information_score
0.5420371912918832
kb_relative_information_score
0.5655404553880437
kb_relative_information_score
0.5802679351506639
kb_relative_information_score
0.5508619548122498
kb_relative_information_score
0.5298267414221809
kb_relative_information_score
0.5158958480716305
kb_relative_information_score
0.5600804018674935
mean_absolute_error
0.08937728937728945
mean_absolute_error
0.10309278350515466
mean_absolute_error
0.09278350515463923
mean_absolute_error
0.10309278350515466
mean_absolute_error
0.0957290132547865
mean_absolute_error
0.0913107511045656
mean_absolute_error
0.10162002945508103
mean_absolute_error
0.10603829160530193
mean_absolute_error
0.1045655375552283
mean_absolute_error
0.09720176730486013
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
0.6871794871794872
predictive_accuracy
0.6391752577319587
predictive_accuracy
0.6752577319587628
predictive_accuracy
0.6391752577319587
predictive_accuracy
0.6649484536082474
predictive_accuracy
0.6804123711340206
predictive_accuracy
0.6443298969072165
predictive_accuracy
0.6288659793814433
predictive_accuracy
0.634020618556701
predictive_accuracy
0.6597938144329896
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
0.6871794871794872 [0.560976,0,0.875,0.820896,0,0.625,0.842105]
recall
0.6391752577319587 [0.585366,0,0.948718,0.671642,0,0.428571,0.789474]
recall
0.6752577319587629 [0.55,0,0.871795,0.838235,0,0.428571,0.789474]
recall
0.6391752577319587 [0.45,0,0.846154,0.764706,0,0.714286,0.842105]
recall
0.6649484536082474 [0.525,0,0.923077,0.764706,0,0.571429,0.842105]
recall
0.6804123711340206 [0.6,0,0.871795,0.80597,0.0625,0.714286,0.736842]
recall
0.6443298969072165 [0.625,0,0.923077,0.656716,0,0.714286,0.789474]
recall
0.6288659793814433 [0.4,0,0.820513,0.776119,0,0.714286,0.894737]
recall
0.634020618556701 [0.5,0,0.897436,0.776119,0,0.285714,0.736842]
recall
0.6597938144329897 [0.575,0,0.820513,0.776119,0,0.625,0.842105]
relative_absolute_error
0.4019606184946267
relative_absolute_error
0.4638426554277686
relative_absolute_error
0.41784357252781695
relative_absolute_error
0.46427063614201863
relative_absolute_error
0.43110844784616026
relative_absolute_error
0.41034770968246115
relative_absolute_error
0.4566772898079001
relative_absolute_error
0.4765328241473739
relative_absolute_error
0.46991431270088263
relative_absolute_error
0.43669415648818666
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
0.29896034749994765
root_mean_squared_error
0.3210806495339678
root_mean_squared_error
0.3046038495400858
root_mean_squared_error
0.3210806495339678
root_mean_squared_error
0.30940105567820303
root_mean_squared_error
0.3021766885525182
root_mean_squared_error
0.3187789664565105
root_mean_squared_error
0.3256352124775543
root_mean_squared_error
0.32336594990077155
root_mean_squared_error
0.31177197966600545
root_relative_squared_error
0.8967608010465934
root_relative_squared_error
0.9635258071453839
root_relative_squared_error
0.9149252732765667
root_relative_squared_error
0.9644159174686454
root_relative_squared_error
0.9293344317409392
root_relative_squared_error
0.9057279582162342
root_relative_squared_error
0.9554907223121414
root_relative_squared_error
0.976041260937125
root_relative_squared_error
0.9692394968097485
root_relative_squared_error
0.9342155472644094
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
181.26819700410124
usercpu_time_millis
176.12350799754495
usercpu_time_millis
177.26107799535384
usercpu_time_millis
178.91219399461988
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
177.30848599603632
usercpu_time_millis
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usercpu_time_millis
177.75856699881842
usercpu_time_millis_testing
16.313829000864644
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
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
181.29897117614746
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
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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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