10327748
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)
8183401
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
17.978489384973518
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.023363824959116333
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
53719
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
21577182
description
https://api.openml.org/data/download/21577182/description.xml
-1
21577183
predictions
https://api.openml.org/data/download/21577183/predictions.arff
area_under_roc_curve
0.8458960622308265 [0.802013,0.897349,0.972143,0.779114,0.770789,0.956996,0.920952]
average_cost
0
f_measure
0.7697126425774222 [0.676259,0.807339,0.957638,0.71151,0.604027,0.923077,0.855643]
kappa
0.7036865896740243
kb_relative_information_score
0.7399338070585892
mean_absolute_error
0.0657981894457944
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7704736840723173 [0.652778,0.814815,0.96134,0.715789,0.642857,0.929577,0.853403]
predictive_accuracy
0.7697063369397218
prior_entropy
2.4106995883230287
recall
0.7697063369397218 [0.701493,0.8,0.953964,0.707281,0.56962,0.916667,0.857895]
relative_absolute_error
0.2959299085113032
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.2565115776057572
root_relative_squared_error
0.7694645117318906
total_cost
0
area_under_roc_curve
0.8630821903702316 [0.841543,0.997368,0.965323,0.792502,0.813889,0.9375,0.915371]
area_under_roc_curve
0.8334613523810461 [0.754982,0.9,0.983954,0.757081,0.832514,0.925898,0.912481]
area_under_roc_curve
0.87057266079738 [0.807792,1,0.987179,0.822246,0.735955,1,0.96797]
area_under_roc_curve
0.8170600148780648 [0.767045,0.994709,0.942266,0.735061,0.733146,0.928571,0.941654]
area_under_roc_curve
0.8727292497281626 [0.889286,0.9,0.983954,0.82563,0.642205,1,0.918195]
area_under_roc_curve
0.8526199361602916 [0.811039,0.74734,0.974359,0.783406,0.858146,0.997326,0.909624]
area_under_roc_curve
0.8120944752688555 [0.738312,0.833333,0.95823,0.760195,0.713132,0.923224,0.886165]
area_under_roc_curve
0.8230941804714983 [0.754545,0.914007,0.980728,0.723293,0.761587,1,0.953684]
area_under_roc_curve
0.859425690018659 [0.832305,0.906028,0.983954,0.810142,0.809691,0.857143,0.862707]
area_under_roc_curve
0.8544447172166161 [0.823052,0.830674,0.961538,0.780291,0.81378,0.997312,0.941654]
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
0.7902012029789807 [0.727273,0.909091,0.938272,0.730159,0.625,0.933333,0.864865]
f_measure
0.7539783454142199 [0.604651,0.888889,0.974359,0.681818,0.709677,0.857143,0.842105]
f_measure
0.8079678313633502 [0.691358,1,0.987013,0.768116,0.551724,1,0.923077]
f_measure
0.7323956756445064 [0.632911,0.833333,0.921053,0.657143,0.533333,0.923077,0.894737]
f_measure
0.8089913522903213 [0.8,0.888889,0.974359,0.771429,0.384615,1,0.888889]
f_measure
0.7783034988693921 [0.7,0.6,0.973684,0.716418,0.705882,0.933333,0.820513]
f_measure
0.7190637529650774 [0.578313,0.8,0.91358,0.686131,0.56,0.8,0.810811]
f_measure
0.7281905865434691 [0.615385,0.833333,0.962025,0.635659,0.5625,1,0.818182]
f_measure
0.7909430062712753 [0.704545,0.666667,0.974359,0.75188,0.740741,0.833333,0.8]
f_measure
0.7804019103554762 [0.697674,0.727273,0.96,0.713178,0.625,0.941176,0.894737]
kappa
0.7319093286835222
kappa
0.6815865959993161
kappa
0.7532655025436547
kappa
0.6530352536543421
kappa
0.7580628399210171
kappa
0.7158332197847118
kappa
0.6390324581352077
kappa
0.6590279186101533
kappa
0.7276400493083138
kappa
0.7174119241192412
kb_relative_information_score
0.7706144775873746
kb_relative_information_score
0.7253554700424644
kb_relative_information_score
0.7862902591376018
kb_relative_information_score
0.702441398242338
kb_relative_information_score
0.7742924517352949
kb_relative_information_score
0.7479612757704642
kb_relative_information_score
0.674646731120222
kb_relative_information_score
0.7123846543227029
kb_relative_information_score
0.7501193707186289
kb_relative_information_score
0.755398669403272
mean_absolute_error
0.0600732600732601
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.05449189985272461
mean_absolute_error
0.07658321060382924
mean_absolute_error
0.05301914580265097
mean_absolute_error
0.06332842415316646
mean_absolute_error
0.07952871870397651
mean_absolute_error
0.07658321060382924
mean_absolute_error
0.06038291605301918
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
0.7954073715468825 [0.680851,0.833333,0.926829,0.779661,0.588235,1,0.888889]
precision
0.7567362763239052 [0.577778,1,0.974359,0.692308,0.733333,0.857143,0.842105]
precision
0.8079842335185559 [0.682927,1,1,0.757143,0.615385,1,0.9]
precision
0.7355239571734417 [0.641026,0.714286,0.945946,0.638889,0.571429,1,0.894737]
precision
0.8098173977494778 [0.755556,1,0.974359,0.75,0.5,1,0.941176]
precision
0.7808848797250858 [0.7,0.75,1,0.716418,0.666667,0.875,0.8]
precision
0.7278155480205348 [0.55814,1,0.880952,0.671429,0.777778,0.75,0.833333]
precision
0.7283485026167014 [0.631579,0.833333,0.95,0.66129,0.5625,1,0.72]
precision
0.8046118400499844 [0.645833,0.555556,0.974359,0.757576,0.909091,1,0.875]
precision
0.7862436828039681 [0.652174,0.8,1,0.741935,0.588235,0.888889,0.894737]
predictive_accuracy
0.7897435897435898
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.8092783505154639
predictive_accuracy
0.7319587628865979
predictive_accuracy
0.8144329896907216
predictive_accuracy
0.7783505154639175
predictive_accuracy
0.7216494845360825
predictive_accuracy
0.7319587628865979
predictive_accuracy
0.788659793814433
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
0.7897435897435897 [0.780488,1,0.95,0.686567,0.666667,0.875,0.842105]
recall
0.7525773195876289 [0.634146,0.8,0.974359,0.671642,0.6875,0.857143,0.842105]
recall
0.8092783505154639 [0.7,1,0.974359,0.779412,0.5,1,0.947368]
recall
0.7319587628865979 [0.625,1,0.897436,0.676471,0.5,0.857143,0.894737]
recall
0.8144329896907216 [0.85,0.8,0.974359,0.794118,0.3125,1,0.842105]
recall
0.7783505154639175 [0.7,0.5,0.948718,0.716418,0.75,1,0.842105]
recall
0.7216494845360825 [0.6,0.666667,0.948718,0.701493,0.4375,0.857143,0.789474]
recall
0.7319587628865979 [0.6,0.833333,0.974359,0.61194,0.5625,1,0.947368]
recall
0.788659793814433 [0.775,0.833333,0.974359,0.746269,0.625,0.714286,0.736842]
recall
0.7783505154639175 [0.75,0.666667,0.923077,0.686567,0.666667,1,0.894737]
relative_absolute_error
0.27017025177507686
relative_absolute_error
0.3180635351504701
relative_absolute_error
0.2454001933893527
relative_absolute_error
0.3448867582769284
relative_absolute_error
0.238767755730181
relative_absolute_error
0.28459599219912624
relative_absolute_error
0.3573996181105308
relative_absolute_error
0.3441625952175481
relative_absolute_error
0.27135896930614356
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
0.2450984701569149
root_mean_squared_error
0.26588003761759677
root_mean_squared_error
0.23343500134453832
root_mean_squared_error
0.2767367171226638
root_mean_squared_error
0.2302588669360009
root_mean_squared_error
0.25165139410137677
root_mean_squared_error
0.28200836637230553
root_mean_squared_error
0.2767367171226638
root_mean_squared_error
0.24572935529362214
root_mean_squared_error
0.25165139410137677
root_relative_squared_error
0.7351968321927644
root_relative_squared_error
0.7978751700582873
root_relative_squared_error
0.7011585136561479
root_relative_squared_error
0.8312219852815516
root_relative_squared_error
0.6916184975136014
root_relative_squared_error
0.7542861908161227
root_relative_squared_error
0.8452765271133467
root_relative_squared_error
0.8294755725983517
root_relative_squared_error
0.736535794041579
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
233.77140699449228
usercpu_time_millis
233.04622100113193
usercpu_time_millis
234.45385199738666
usercpu_time_millis
230.86440999031765
usercpu_time_millis
235.65557000256376
usercpu_time_millis
230.07125900039682
usercpu_time_millis
238.37488899880555
usercpu_time_millis
233.54287200345425
usercpu_time_millis
232.70491899893386
usercpu_time_millis
230.27256799832685
usercpu_time_millis_testing
18.795794996549375
usercpu_time_millis_testing
18.275504000484943
usercpu_time_millis_testing
18.61115799692925
usercpu_time_millis_testing
18.197592995420564
usercpu_time_millis_testing
18.391331999737304
usercpu_time_millis_testing
18.356590997427702
usercpu_time_millis_testing
18.18535300117219
usercpu_time_millis_testing
18.40803600498475
usercpu_time_millis_testing
18.626452001626603
usercpu_time_millis_testing
18.454780998581555
usercpu_time_millis_training
214.9756119979429
usercpu_time_millis_training
214.77071700064698
usercpu_time_millis_training
215.8426940004574
usercpu_time_millis_training
212.6668169948971
usercpu_time_millis_training
217.26423800282646
usercpu_time_millis_training
211.71466800296912
usercpu_time_millis_training
220.18953599763336
usercpu_time_millis_training
215.1348359984695
usercpu_time_millis_training
214.07846699730726
usercpu_time_millis_training
211.8177869997453
wall_clock_time_millis
233.94131660461426
wall_clock_time_millis
233.1106662750244
wall_clock_time_millis
234.55476760864258
wall_clock_time_millis
230.9093475341797
wall_clock_time_millis
235.6884479522705
wall_clock_time_millis
230.1478385925293
wall_clock_time_millis
238.41047286987305
wall_clock_time_millis
261.59095764160156
wall_clock_time_millis
312.77012825012207
wall_clock_time_millis
370.375394821167
wall_clock_time_millis_testing
18.810510635375977
wall_clock_time_millis_testing
18.288135528564453
wall_clock_time_millis_testing
18.6307430267334
wall_clock_time_millis_testing
18.210411071777344
wall_clock_time_millis_testing
18.404483795166016
wall_clock_time_millis_testing
18.370389938354492
wall_clock_time_millis_testing
18.198251724243164
wall_clock_time_millis_testing
18.421173095703125
wall_clock_time_millis_testing
34.639835357666016
wall_clock_time_millis_testing
34.46817398071289
wall_clock_time_millis_training
215.13080596923828
wall_clock_time_millis_training
214.82253074645996
wall_clock_time_millis_training
215.92402458190918
wall_clock_time_millis_training
212.69893646240234
wall_clock_time_millis_training
217.2839641571045
wall_clock_time_millis_training
211.7774486541748
wall_clock_time_millis_training
220.21222114562988
wall_clock_time_millis_training
243.16978454589844
wall_clock_time_millis_training
278.13029289245605
wall_clock_time_millis_training
335.9072208404541