10327784
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)
8183437
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
73.15153484301855
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5428573815911459
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.037758991593650544
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
8348
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
21577254
description
https://api.openml.org/data/download/21577254/description.xml
-1
21577255
predictions
https://api.openml.org/data/download/21577255/predictions.arff
area_under_roc_curve
0.8277329220260731 [0.784099,0.906175,0.968583,0.747699,0.757289,0.947911,0.90402]
average_cost
0
f_measure
0.7375956466576872 [0.640462,0.810811,0.940881,0.669261,0.579125,0.866667,0.828496]
kappa
0.6658388079649651
kb_relative_information_score
0.7090325518208849
mean_absolute_error
0.07463016118348458
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7393677152562806 [0.598272,0.803571,0.925743,0.702614,0.618705,0.833333,0.830688]
predictive_accuracy
0.7387944358578052
prior_entropy
2.4106995883230287
recall
0.7387944358578052 [0.689055,0.818182,0.956522,0.63893,0.544304,0.902778,0.826316]
relative_absolute_error
0.3356520438819464
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.2731852140645327
root_relative_squared_error
0.8194808566325693
total_cost
0
area_under_roc_curve
0.8227745121142299 [0.804165,1,0.958871,0.731751,0.716667,0.9375,0.886214]
area_under_roc_curve
0.813592239364212 [0.74191,0.9,0.983871,0.731578,0.727528,1,0.889023]
area_under_roc_curve
0.8591776513124829 [0.822565,1,0.987179,0.800187,0.741573,1,0.894737]
area_under_roc_curve
0.8198244252358062 [0.773052,0.997354,0.948635,0.721522,0.792837,0.928571,0.941654]
area_under_roc_curve
0.8261655562162994 [0.822565,0.897354,0.97105,0.726657,0.707514,1,0.909624]
area_under_roc_curve
0.8384818485455682 [0.785552,0.744681,0.983954,0.754378,0.792837,0.991979,0.959398]
area_under_roc_curve
0.8081293192129477 [0.716558,0.916667,0.95823,0.749207,0.738764,0.92055,0.883308]
area_under_roc_curve
0.8072679184279904 [0.685552,0.914007,0.980728,0.711893,0.795646,0.994652,0.950827]
area_under_roc_curve
0.8246078800649301 [0.843831,0.989362,0.955087,0.750441,0.772823,0.714286,0.810075]
area_under_roc_curve
0.8570705079179219 [0.845292,0.744681,0.958313,0.799154,0.786034,0.986559,0.915338]
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
0.7312397638419837 [0.666667,1,0.915663,0.645669,0.5,0.933333,0.810811]
f_measure
0.7156859563294748 [0.577778,0.888889,0.939759,0.645161,0.5,1,0.833333]
f_measure
0.7956845952600954 [0.681319,1,0.987013,0.740741,0.592593,1,0.882353]
f_measure
0.7313755022303863 [0.634146,0.909091,0.911392,0.636364,0.606061,0.923077,0.894737]
f_measure
0.7309542711453699 [0.681319,0.8,0.926829,0.64,0.518519,1,0.820513]
f_measure
0.7444912901932985 [0.650602,0.545455,0.974359,0.677419,0.606061,0.823529,0.857143]
f_measure
0.7086444960156301 [0.55,0.909091,0.91358,0.671642,0.571429,0.75,0.789474]
f_measure
0.6992837196151446 [0.506667,0.833333,0.962025,0.620155,0.625,0.875,0.8]
f_measure
0.7307741033308044 [0.686869,0.75,0.935065,0.672,0.642857,0.6,0.727273]
f_measure
0.7786538332462332 [0.738095,0.545455,0.947368,0.738462,0.62069,0.761905,0.864865]
kappa
0.6581023669836131
kappa
0.6376171715799483
kappa
0.7326258484650104
kappa
0.6561573332424417
kappa
0.6636181280386224
kappa
0.6806530721940404
kappa
0.628746198270854
kappa
0.6273379840258821
kappa
0.6565085634512581
kappa
0.7174693490482965
kb_relative_information_score
0.7053669486741075
kb_relative_information_score
0.6867478839770501
kb_relative_information_score
0.7667281645222407
kb_relative_information_score
0.7113454880696959
kb_relative_information_score
0.7090740338712734
kb_relative_information_score
0.7195879431207601
kb_relative_information_score
0.6733625451039049
kb_relative_information_score
0.6879899903317492
kb_relative_information_score
0.6866752947298668
kb_relative_information_score
0.7436930472083213
mean_absolute_error
0.07619047619047627
mean_absolute_error
0.08100147275405016
mean_absolute_error
0.058910162002945535
mean_absolute_error
0.07658321060382924
mean_absolute_error
0.07511045655375559
mean_absolute_error
0.07216494845360831
mean_absolute_error
0.0824742268041238
mean_absolute_error
0.08394698085419744
mean_absolute_error
0.07658321060382924
mean_absolute_error
0.06332842415316646
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
0.7340741936883005 [0.612245,1,0.883721,0.683333,0.538462,1,0.833333]
precision
0.7221934721701042 [0.530612,1,0.886364,0.701754,0.5,1,0.882353]
precision
0.807713184449877 [0.607843,1,1,0.746269,0.727273,1,1]
precision
0.7322955470848134 [0.619048,0.833333,0.9,0.65625,0.588235,1,0.894737]
precision
0.7364946298798869 [0.607843,0.8,0.883721,0.701754,0.636364,1,0.8]
precision
0.748793969307591 [0.627907,0.6,0.974359,0.736842,0.588235,0.7,0.782609]
precision
0.7097447226313206 [0.55,1,0.880952,0.671642,0.666667,0.666667,0.789474]
precision
0.6989091895061299 [0.542857,0.833333,0.95,0.645161,0.625,0.777778,0.692308]
precision
0.7597998533180638 [0.576271,0.6,0.947368,0.724138,0.75,1,0.857143]
precision
0.7846917841763204 [0.704545,0.6,0.972973,0.761905,0.642857,0.615385,0.888889]
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7164948453608246
predictive_accuracy
0.7938144329896908
predictive_accuracy
0.7319587628865979
predictive_accuracy
0.7371134020618557
predictive_accuracy
0.7474226804123711
predictive_accuracy
0.711340206185567
predictive_accuracy
0.7061855670103092
predictive_accuracy
0.7319587628865979
predictive_accuracy
0.7783505154639175
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 [0.731707,1,0.95,0.61194,0.466667,0.875,0.789474]
recall
0.7164948453608248 [0.634146,0.8,1,0.597015,0.5,1,0.789474]
recall
0.7938144329896907 [0.775,1,0.974359,0.735294,0.5,1,0.789474]
recall
0.7319587628865979 [0.65,1,0.923077,0.617647,0.625,0.857143,0.894737]
recall
0.7371134020618557 [0.775,0.8,0.974359,0.588235,0.4375,1,0.842105]
recall
0.7474226804123711 [0.675,0.5,0.974359,0.626866,0.625,1,0.947368]
recall
0.711340206185567 [0.55,0.833333,0.948718,0.671642,0.5,0.857143,0.789474]
recall
0.7061855670103093 [0.475,0.833333,0.974359,0.597015,0.625,1,0.947368]
recall
0.7319587628865979 [0.85,1,0.923077,0.626866,0.5625,0.428571,0.631579]
recall
0.7783505154639175 [0.775,0.5,0.923077,0.716418,0.6,1,0.842105]
relative_absolute_error
0.3426549534708294
relative_absolute_error
0.36444780069324706
relative_absolute_error
0.26529750636686783
relative_absolute_error
0.3448867582769284
relative_absolute_error
0.3382543206177566
relative_absolute_error
0.32430706087807415
relative_absolute_error
0.37063664100351346
relative_absolute_error
0.37725515245000474
relative_absolute_error
0.3441625952175481
relative_absolute_error
0.28451285953018224
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
0.28460757676852205
root_mean_squared_error
0.24271415698913307
root_mean_squared_error
0.2767367171226638
root_mean_squared_error
0.2740628697101371
root_mean_squared_error
0.2686353447586678
root_mean_squared_error
0.28718326344709544
root_mean_squared_error
0.2897360537699743
root_mean_squared_error
0.2767367171226638
root_mean_squared_error
0.25165139410137677
root_relative_squared_error
0.827967653831582
root_relative_squared_error
0.8540743440117246
root_relative_squared_error
0.7290299080154939
root_relative_squared_error
0.8312219852815516
root_relative_squared_error
0.8231906666416212
root_relative_squared_error
0.8051929600475948
root_relative_squared_error
0.8607874819258455
root_relative_squared_error
0.8684390766864167
root_relative_squared_error
0.8294755725983517
root_relative_squared_error
0.7540659847370605
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
323.6658220048412
usercpu_time_millis
317.4935019997065
usercpu_time_millis
329.82814400747884
usercpu_time_millis
311.44180000410415
usercpu_time_millis
306.31643300148426
usercpu_time_millis
308.6603650008328
usercpu_time_millis
290.1874390008743
usercpu_time_millis
308.78853399917716
usercpu_time_millis
302.4416900007054
usercpu_time_millis
308.1989819984301
usercpu_time_millis_testing
11.554902004718315
usercpu_time_millis_testing
11.280623002676293
usercpu_time_millis_testing
11.792077006248292
usercpu_time_millis_testing
11.144254000100773
usercpu_time_millis_testing
11.149901001772378
usercpu_time_millis_testing
11.127590005344246
usercpu_time_millis_testing
10.997893004969228
usercpu_time_millis_testing
11.147469995194115
usercpu_time_millis_testing
11.172567996254656
usercpu_time_millis_testing
11.098861999926157
usercpu_time_millis_training
312.11092000012286
usercpu_time_millis_training
306.2128789970302
usercpu_time_millis_training
318.03606700123055
usercpu_time_millis_training
300.2975460040034
usercpu_time_millis_training
295.1665319997119
usercpu_time_millis_training
297.5327749954886
usercpu_time_millis_training
279.18954599590506
usercpu_time_millis_training
297.64106400398305
usercpu_time_millis_training
291.26912200445076
usercpu_time_millis_training
297.10011999850394
wall_clock_time_millis
351.7603874206543
wall_clock_time_millis
333.5607051849365
wall_clock_time_millis
329.880952835083
wall_clock_time_millis
331.4692974090576
wall_clock_time_millis
310.3663921356201
wall_clock_time_millis
308.7010383605957
wall_clock_time_millis
290.35067558288574
wall_clock_time_millis
308.8397979736328
wall_clock_time_millis
302.4790287017822
wall_clock_time_millis
308.2389831542969
wall_clock_time_millis_testing
11.565685272216797
wall_clock_time_millis_testing
11.29150390625
wall_clock_time_millis_testing
11.802434921264648
wall_clock_time_millis_testing
11.156320571899414
wall_clock_time_millis_testing
11.16323471069336
wall_clock_time_millis_testing
11.141300201416016
wall_clock_time_millis_testing
11.01064682006836
wall_clock_time_millis_testing
11.159420013427734
wall_clock_time_millis_testing
11.186361312866211
wall_clock_time_millis_testing
11.111259460449219
wall_clock_time_millis_training
340.1947021484375
wall_clock_time_millis_training
322.2692012786865
wall_clock_time_millis_training
318.07851791381836
wall_clock_time_millis_training
320.3129768371582
wall_clock_time_millis_training
299.20315742492676
wall_clock_time_millis_training
297.5597381591797
wall_clock_time_millis_training
279.3400287628174
wall_clock_time_millis_training
297.6803779602051
wall_clock_time_millis_training
291.292667388916
wall_clock_time_millis_training
297.12772369384766