10327850
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)
8183503
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
872.5432069179835
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.1641429342096863
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
4.843258252955024e-05
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
55067
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
21577386
description
https://api.openml.org/data/download/21577386/description.xml
-1
21577387
predictions
https://api.openml.org/data/download/21577387/predictions.arff
area_under_roc_curve
0.8069349663562713 [0.759873,0.661781,0.952305,0.732452,0.725204,0.963405,0.92187]
average_cost
0
f_measure
0.7150536721184639 [0.609727,0.45,0.931258,0.651799,0.560606,0.917808,0.845361]
kappa
0.6322959192300088
kb_relative_information_score
0.667879685663746
mean_absolute_error
0.08081254139986771
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7219628357970935 [0.582766,0.72,0.944737,0.631799,0.698113,0.905405,0.828283]
predictive_accuracy
0.7171561051004638
prior_entropy
2.4106995883230287
recall
0.7171561051004637 [0.639303,0.327273,0.918159,0.673105,0.468354,0.930556,0.863158]
relative_absolute_error
0.36345753864139674
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.28427546746046817
root_relative_squared_error
0.8527485808185005
total_cost
0
area_under_roc_curve
0.8348562020887997 [0.808204,0.597368,0.956048,0.771922,0.758333,0.9375,0.938846]
area_under_roc_curve
0.8073279802714582 [0.754105,0.6,0.974276,0.707956,0.809691,0.997326,0.912481]
area_under_roc_curve
0.8078891359063203 [0.742045,0.6,0.961538,0.762722,0.647823,0.997326,0.912481]
area_under_roc_curve
0.7656860062333058 [0.744805,0.6,0.900579,0.676704,0.642205,0.928571,0.938797]
area_under_roc_curve
0.8334093153701708 [0.816558,0.594709,0.95823,0.777544,0.681882,1,0.941654]
area_under_roc_curve
0.8379105238978882 [0.801299,0.666667,0.945492,0.772417,0.917837,0.994652,0.854135]
area_under_roc_curve
0.7823415516516271 [0.753084,0.75,0.945409,0.681631,0.653441,0.925898,0.930226]
area_under_roc_curve
0.7964159274331011 [0.694805,0.664007,0.983954,0.721648,0.673455,1,0.959398]
area_under_roc_curve
0.8014154516448994 [0.741071,0.825355,0.948718,0.725996,0.741573,0.854469,0.915338]
area_under_roc_curve
0.8015851396538702 [0.741558,0.666667,0.948718,0.724762,0.727747,0.997312,0.915338]
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
f_measure
0.7557332724616075 [0.690476,0.285714,0.936709,0.7,0.615385,0.933333,0.871795]
f_measure
0.7123963093035257 [0.593407,0.333333,0.938272,0.615385,0.740741,0.933333,0.842105]
f_measure
0.7181127921334106 [0.597403,0.333333,0.96,0.69281,0.416667,0.933333,0.842105]
f_measure
0.6620652634283023 [0.592593,0.333333,0.864865,0.590604,0.384615,0.923077,0.871795]
f_measure
0.7448861466902704 [0.681818,0.25,0.91358,0.711111,0.5,1,0.894737]
f_measure
0.7508994589167054 [0.674699,0.5,0.933333,0.70229,0.756757,0.875,0.736842]
f_measure
0.6686281500272812 [0.580645,0.666667,0.9,0.578125,0.454545,0.857143,0.809524]
f_measure
0.6938591252037184 [0.519481,0.444444,0.974359,0.638298,0.444444,1,0.857143]
f_measure
0.7108645926815479 [0.574713,0.615385,0.945946,0.642336,0.592593,0.769231,0.864865]
f_measure
0.7172956522512449 [0.585366,0.5,0.945946,0.643836,0.583333,0.941176,0.864865]
kappa
0.6861301369863013
kappa
0.633698376188678
kappa
0.6382379846597707
kappa
0.5581020465377068
kappa
0.6785529358969934
kappa
0.6838245280456335
kappa
0.5818679438932605
kappa
0.6119598579163361
kappa
0.6199869411319978
kappa
0.6287016738003272
kb_relative_information_score
0.709607645592148
kb_relative_information_score
0.6770054497728211
kb_relative_information_score
0.6634727031164157
kb_relative_information_score
0.6021874224773481
kb_relative_information_score
0.700867353072407
kb_relative_information_score
0.7175896744400753
kb_relative_information_score
0.6279789934625026
kb_relative_information_score
0.6515123537841916
kb_relative_information_score
0.6604614673114441
kb_relative_information_score
0.6678329665644556
mean_absolute_error
0.06886446886446893
mean_absolute_error
0.08100147275405016
mean_absolute_error
0.07805596465390288
mean_absolute_error
0.0957290132547865
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.09278350515463923
mean_absolute_error
0.08541973490427107
mean_absolute_error
0.08394698085419744
mean_absolute_error
0.08100147275405016
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
0.7596490994268337 [0.674419,0.5,0.948718,0.671233,0.727273,1,0.85]
precision
0.730081708097172 [0.54,1,0.904762,0.634921,0.909091,0.875,0.842105]
precision
0.7391230147673448 [0.621622,1,1,0.623529,0.625,0.875,0.842105]
precision
0.6812373639609413 [0.585366,1,0.914286,0.54321,0.5,1,0.85]
precision
0.7512382857435943 [0.625,0.333333,0.880952,0.716418,0.75,1,0.894737]
precision
0.7640749453901277 [0.651163,1,0.972222,0.71875,0.666667,0.777778,0.736842]
precision
0.6940073030210743 [0.509434,1,0.878049,0.606557,0.833333,0.857143,0.73913]
precision
0.6956788804614892 [0.540541,0.666667,0.974359,0.608108,0.545455,1,0.782609]
precision
0.7225672100315663 [0.531915,0.571429,1,0.628571,0.727273,0.833333,0.888889]
precision
0.7390957165849507 [0.571429,1,1,0.594937,0.777778,0.888889,0.888889]
predictive_accuracy
0.7589743589743589
predictive_accuracy
0.7164948453608246
predictive_accuracy
0.7268041237113403
predictive_accuracy
0.6649484536082474
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.6752577319587628
predictive_accuracy
0.7010309278350516
predictive_accuracy
0.7061855670103092
predictive_accuracy
0.7164948453608246
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
0.7589743589743589 [0.707317,0.2,0.925,0.731343,0.533333,0.875,0.894737]
recall
0.7164948453608248 [0.658537,0.2,0.974359,0.597015,0.625,1,0.842105]
recall
0.7268041237113402 [0.575,0.2,0.923077,0.779412,0.3125,1,0.842105]
recall
0.6649484536082474 [0.6,0.2,0.820513,0.647059,0.3125,0.857143,0.894737]
recall
0.7525773195876289 [0.75,0.2,0.948718,0.705882,0.375,1,0.894737]
recall
0.7525773195876289 [0.7,0.333333,0.897436,0.686567,0.875,1,0.736842]
recall
0.6752577319587629 [0.675,0.5,0.923077,0.552239,0.3125,0.857143,0.894737]
recall
0.7010309278350515 [0.5,0.333333,0.974359,0.671642,0.375,1,0.947368]
recall
0.7061855670103093 [0.625,0.666667,0.897436,0.656716,0.5,0.714286,0.842105]
recall
0.7164948453608248 [0.6,0.333333,0.897436,0.701493,0.466667,1,0.842105]
relative_absolute_error
0.30970736179094194
relative_absolute_error
0.36444780069324706
relative_absolute_error
0.3515191959361001
relative_absolute_error
0.43110844784616026
relative_absolute_error
0.3183570076402415
relative_absolute_error
0.31768854943158276
relative_absolute_error
0.41696622112895243
relative_absolute_error
0.383873663896496
relative_absolute_error
0.37725515245000474
relative_absolute_error
0.36391179707348903
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
0.2624204048172873
root_mean_squared_error
0.28460757676852205
root_mean_squared_error
0.27938497571255133
root_mean_squared_error
0.30940105567820303
root_mean_squared_error
0.26588003761759677
root_mean_squared_error
0.26588003761759677
root_mean_squared_error
0.3046038495400858
root_mean_squared_error
0.29226654769964877
root_mean_squared_error
0.2897360537699743
root_mean_squared_error
0.28460757676852205
root_relative_squared_error
0.7871556693148514
root_relative_squared_error
0.8540743440117246
root_relative_squared_error
0.8391764438930177
root_relative_squared_error
0.9293344317409392
root_relative_squared_error
0.7986122514320049
root_relative_squared_error
0.7969343523995494
root_relative_squared_error
0.9130029984453867
root_relative_squared_error
0.8760238414516323
root_relative_squared_error
0.8684390766864167
root_relative_squared_error
0.8528182146812514
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
243.19054499210324
usercpu_time_millis
240.94066399266012
usercpu_time_millis
236.49657599889906
usercpu_time_millis
232.4978749966249
usercpu_time_millis
242.66548499872442
usercpu_time_millis
243.68025700823637
usercpu_time_millis
234.2500840095454
usercpu_time_millis
238.1957359975786
usercpu_time_millis
241.99746300291736
usercpu_time_millis
242.0842389910831
usercpu_time_millis_testing
20.936076994985342
usercpu_time_millis_testing
20.833677997870836
usercpu_time_millis_testing
21.274000995617826
usercpu_time_millis_testing
21.135309994861018
usercpu_time_millis_testing
21.49457199993776
usercpu_time_millis_testing
21.5993250021711
usercpu_time_millis_testing
20.94500000384869
usercpu_time_millis_testing
21.241492999251932
usercpu_time_millis_testing
21.300863001670223
usercpu_time_millis_testing
21.172743996430654
usercpu_time_millis_training
222.2544679971179
usercpu_time_millis_training
220.10698599478928
usercpu_time_millis_training
215.22257500328124
usercpu_time_millis_training
211.36256500176387
usercpu_time_millis_training
221.17091299878666
usercpu_time_millis_training
222.08093200606527
usercpu_time_millis_training
213.3050840056967
usercpu_time_millis_training
216.95424299832666
usercpu_time_millis_training
220.69660000124713
usercpu_time_millis_training
220.91149499465246
wall_clock_time_millis
351.24731063842773
wall_clock_time_millis
240.98849296569824
wall_clock_time_millis
352.5831699371338
wall_clock_time_millis
232.53226280212402
wall_clock_time_millis
242.71106719970703
wall_clock_time_millis
243.7305450439453
wall_clock_time_millis
246.29974365234375
wall_clock_time_millis
238.24310302734375
wall_clock_time_millis
274.15013313293457
wall_clock_time_millis
242.13480949401855
wall_clock_time_millis_testing
20.948171615600586
wall_clock_time_millis_testing
20.844459533691406
wall_clock_time_millis_testing
45.28546333312988
wall_clock_time_millis_testing
21.149158477783203
wall_clock_time_millis_testing
21.507740020751953
wall_clock_time_millis_testing
21.61383628845215
wall_clock_time_millis_testing
32.96041488647461
wall_clock_time_millis_testing
21.254539489746094
wall_clock_time_millis_testing
21.313905715942383
wall_clock_time_millis_testing
21.18849754333496
wall_clock_time_millis_training
330.29913902282715
wall_clock_time_millis_training
220.14403343200684
wall_clock_time_millis_training
307.2977066040039
wall_clock_time_millis_training
211.38310432434082
wall_clock_time_millis_training
221.20332717895508
wall_clock_time_millis_training
222.11670875549316
wall_clock_time_millis_training
213.33932876586914
wall_clock_time_millis_training
216.98856353759766
wall_clock_time_millis_training
252.8362274169922
wall_clock_time_millis_training
220.9463119506836