10327501
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)
8183167
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
15663.776125328099
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7200282904076336
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.020163640638038785
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
59453
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
21576688
description
https://api.openml.org/data/download/21576688/description.xml
-1
21576689
predictions
https://api.openml.org/data/download/21576689/predictions.arff
area_under_roc_curve
0.8122013778523082 [0.764625,0.887728,0.95833,0.727136,0.739143,0.941234,0.903449]
average_cost
0
f_measure
0.7151424199459089 [0.611303,0.781818,0.923463,0.641363,0.555556,0.864865,0.824147]
kappa
0.6369574000089779
kb_relative_information_score
0.6836094490346167
mean_absolute_error
0.08095974092882921
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7168396362306876 [0.569892,0.781818,0.906404,0.669903,0.615385,0.842105,0.82199]
predictive_accuracy
0.7166409067490984
prior_entropy
2.4106995883230287
recall
0.7166409067490984 [0.659204,0.781818,0.941176,0.615156,0.506329,0.888889,0.826316]
relative_absolute_error
0.3641195742309074
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.2845342526460201
root_relative_squared_error
0.8535248655316614
total_cost
0
area_under_roc_curve
0.7975018764837314 [0.793633,1,0.939919,0.690882,0.683333,0.9375,0.859898]
area_under_roc_curve
0.8019200551234851 [0.702933,0.9,0.948635,0.748795,0.727528,0.928571,0.89188]
area_under_roc_curve
0.8420539801438677 [0.778571,0.897354,1,0.777544,0.713132,1,0.918195]
area_under_roc_curve
0.8039818140325572 [0.766558,0.994709,0.945409,0.702264,0.738764,0.928571,0.915338]
area_under_roc_curve
0.8157247425496792 [0.806818,0.897354,0.955004,0.707983,0.738764,1,0.909624]
area_under_roc_curve
0.8218033663285923 [0.798052,0.658688,0.958313,0.734693,0.733146,0.991979,0.962256]
area_under_roc_curve
0.7908513210497722 [0.700812,0.916667,0.945327,0.722882,0.710323,0.92055,0.883308]
area_under_roc_curve
0.7858425859818732 [0.669805,0.916667,0.964682,0.677694,0.758778,0.997326,0.94797]
area_under_roc_curve
0.825687745081803 [0.818831,0.989362,0.967907,0.754378,0.804073,0.714286,0.807218]
area_under_roc_curve
0.8364653679511872 [0.810552,0.74734,0.958313,0.753966,0.78324,0.986559,0.938797]
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
0.6880580266294553 [0.632653,1,0.880952,0.583333,0.444444,0.933333,0.777778]
f_measure
0.7085754715367458 [0.53012,0.888889,0.911392,0.671533,0.5,0.923077,0.857143]
f_measure
0.7685223367697595 [0.622222,0.8,1,0.711111,0.56,1,0.888889]
f_measure
0.7096770090923039 [0.619048,0.833333,0.9,0.61194,0.571429,0.923077,0.864865]
f_measure
0.7163854041870378 [0.659341,0.8,0.902439,0.612903,0.571429,1,0.820513]
f_measure
0.7237357025321455 [0.666667,0.363636,0.947368,0.651163,0.533333,0.823529,0.878049]
f_measure
0.6799445097049706 [0.525,0.909091,0.870588,0.636364,0.538462,0.75,0.789474]
f_measure
0.6688168599448189 [0.48,0.909091,0.936709,0.573643,0.545455,0.933333,0.782609]
f_measure
0.7315726640000833 [0.659794,0.75,0.948718,0.677419,0.689655,0.6,0.705882]
f_measure
0.7467572446784001 [0.682353,0.6,0.947368,0.677165,0.6,0.761905,0.871795]
kappa
0.6072903030913301
kappa
0.6192410990978583
kappa
0.699152250327383
kappa
0.62766467886764
kappa
0.6444595282538605
kappa
0.651894234350137
kappa
0.5957366856830526
kappa
0.5878047957910357
kappa
0.6573602336797771
kappa
0.6792847503373819
kb_relative_information_score
0.662510576501589
kb_relative_information_score
0.6647172031855465
kb_relative_information_score
0.7347766916474021
kb_relative_information_score
0.6831650419017309
kb_relative_information_score
0.6966263557937153
kb_relative_information_score
0.686962374612076
kb_relative_information_score
0.6461264006582179
kb_relative_information_score
0.6551320599028047
kb_relative_information_score
0.6891478590532897
kb_relative_information_score
0.7172488973944197
mean_absolute_error
0.08791208791208799
mean_absolute_error
0.08394698085419744
mean_absolute_error
0.06627393225331374
mean_absolute_error
0.0824742268041238
mean_absolute_error
0.07952871870397651
mean_absolute_error
0.07805596465390288
mean_absolute_error
0.08983799705449197
mean_absolute_error
0.09278350515463923
mean_absolute_error
0.07658321060382924
mean_absolute_error
0.07216494845360831
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
0.6991125697066465 [0.54386,1,0.840909,0.660377,0.5,1,0.823529]
precision
0.7134910407461954 [0.52381,1,0.9,0.657143,0.5,1,0.9375]
precision
0.7806351303921065 [0.56,0.8,1,0.716418,0.777778,1,0.941176]
precision
0.7126271878597752 [0.590909,0.714286,0.878049,0.621212,0.666667,1,0.888889]
precision
0.7221498716964609 [0.588235,0.8,0.860465,0.678571,0.666667,1,0.8]
precision
0.7256489683659622 [0.636364,0.4,0.972973,0.677419,0.571429,0.7,0.818182]
precision
0.6831368019400293 [0.525,1,0.804348,0.646154,0.7,0.666667,0.789474]
precision
0.669549249696553 [0.514286,1,0.925,0.596774,0.529412,0.875,0.666667]
precision
0.7573827510886652 [0.561404,0.6,0.948718,0.736842,0.769231,1,0.8]
precision
0.7541931304817904 [0.644444,0.75,0.972973,0.716667,0.6,0.615385,0.85]
predictive_accuracy
0.6923076923076923
predictive_accuracy
0.7061855670103092
predictive_accuracy
0.7680412371134021
predictive_accuracy
0.711340206185567
predictive_accuracy
0.7216494845360825
predictive_accuracy
0.7268041237113403
predictive_accuracy
0.6855670103092784
predictive_accuracy
0.6752577319587628
predictive_accuracy
0.7319587628865979
predictive_accuracy
0.7474226804123711
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
0.6923076923076923 [0.756098,1,0.925,0.522388,0.4,0.875,0.736842]
recall
0.7061855670103093 [0.536585,0.8,0.923077,0.686567,0.5,0.857143,0.789474]
recall
0.7680412371134021 [0.7,0.8,1,0.705882,0.4375,1,0.842105]
recall
0.711340206185567 [0.65,1,0.923077,0.602941,0.5,0.857143,0.842105]
recall
0.7216494845360825 [0.75,0.8,0.948718,0.558824,0.5,1,0.842105]
recall
0.7268041237113402 [0.7,0.333333,0.923077,0.626866,0.5,1,0.947368]
recall
0.6855670103092784 [0.525,0.833333,0.948718,0.626866,0.4375,0.857143,0.789474]
recall
0.6752577319587629 [0.45,0.833333,0.948718,0.552239,0.5625,1,0.947368]
recall
0.7319587628865979 [0.8,1,0.948718,0.626866,0.625,0.428571,0.631579]
recall
0.7474226804123711 [0.725,0.5,0.923077,0.641791,0.6,1,0.894737]
relative_absolute_error
0.39537110015864924
relative_absolute_error
0.3777004479911833
relative_absolute_error
0.29845969466272637
relative_absolute_error
0.3714165089136152
relative_absolute_error
0.35815163359527175
relative_absolute_error
0.35078110666403944
relative_absolute_error
0.4037291982359698
relative_absolute_error
0.41696622112895243
relative_absolute_error
0.3441625952175481
relative_absolute_error
0.3242123283018356
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
0.2964997266644406
root_mean_squared_error
0.2897360537699743
root_mean_squared_error
0.2574372394454884
root_mean_squared_error
0.28718326344709544
root_mean_squared_error
0.28200836637230553
root_mean_squared_error
0.27938497571255133
root_mean_squared_error
0.2997298734769225
root_mean_squared_error
0.3046038495400858
root_mean_squared_error
0.2767367171226638
root_mean_squared_error
0.2686353447586678
root_relative_squared_error
0.8893799281984921
root_relative_squared_error
0.869464308961101
root_relative_squared_error
0.7732529874683413
root_relative_squared_error
0.8625998200170878
root_relative_squared_error
0.8470562077893401
root_relative_squared_error
0.8374133187459357
root_relative_squared_error
0.8983940078934353
root_relative_squared_error
0.9130029984453867
root_relative_squared_error
0.8294755725983517
root_relative_squared_error
0.8049578922619461
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
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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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_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_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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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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wall_clock_time_millis_training
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