10327844
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)
8183497
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
4312.765643162175
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.8431309599755139
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.1340521523606873
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
17862
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
21577374
description
https://api.openml.org/data/download/21577374/description.xml
-1
21577375
predictions
https://api.openml.org/data/download/21577375/predictions.arff
area_under_roc_curve
0.8396128257363075 [0.797038,0.897349,0.967662,0.779188,0.745192,0.949249,0.90047]
average_cost
0
f_measure
0.7607861998307869 [0.66988,0.807339,0.951157,0.71134,0.563574,0.896552,0.83558]
kappa
0.6915114474427405
kb_relative_information_score
0.7258236207071017
mean_absolute_error
0.06830058143813994
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7617311927257706 [0.649533,0.814815,0.956072,0.705109,0.616541,0.890411,0.856354]
predictive_accuracy
0.7609479649665122
prior_entropy
2.4106995883230287
recall
0.7609479649665121 [0.691542,0.8,0.946292,0.717682,0.518987,0.902778,0.815789]
relative_absolute_error
0.3071845135329854
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.261343799310678
root_relative_squared_error
0.7839598540063506
total_cost
0
area_under_roc_curve
0.8437350535888843 [0.799256,1,0.952823,0.78364,0.75,0.9375,0.915371]
area_under_roc_curve
0.8126495213964661 [0.730591,0.897354,0.964682,0.74527,0.733146,0.997326,0.89188]
area_under_roc_curve
0.8914384616631809 [0.861039,1,0.987179,0.856209,0.704705,1,0.973684]
area_under_roc_curve
0.8399845518475457 [0.820292,0.997354,0.942266,0.762255,0.792837,0.928571,0.915338]
area_under_roc_curve
0.833663989347208 [0.841558,0.9,0.955087,0.758287,0.647823,1,0.915338]
area_under_roc_curve
0.8327356965935258 [0.817045,0.661348,0.974359,0.768069,0.764396,0.997326,0.854135]
area_under_roc_curve
0.8122169092215885 [0.725812,0.916667,0.967907,0.763721,0.676264,0.923224,0.886165]
area_under_roc_curve
0.8336454806501599 [0.724026,0.916667,0.967907,0.771183,0.801264,0.994652,0.950827]
area_under_roc_curve
0.8322775597615053 [0.787825,0.989362,0.993548,0.791691,0.767205,0.714286,0.786617]
area_under_roc_curve
0.863754514792429 [0.864286,0.744681,0.971133,0.79128,0.819367,0.994624,0.915338]
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
0.7697536844478703 [0.682927,1,0.925,0.715328,0.551724,0.933333,0.864865]
f_measure
0.7215426011197902 [0.571429,0.8,0.936709,0.666667,0.533333,0.933333,0.857143]
f_measure
0.838374171408685 [0.761905,1,0.987013,0.811594,0.5,1,0.972973]
f_measure
0.7646913953340382 [0.707317,0.909091,0.921053,0.691176,0.606061,0.923077,0.864865]
f_measure
0.7531569833097411 [0.711111,0.888889,0.935065,0.686131,0.416667,1,0.864865]
f_measure
0.7463969031199604 [0.698795,0.4,0.973684,0.696296,0.580645,0.933333,0.736842]
f_measure
0.7193658346895575 [0.560976,0.909091,0.948718,0.690647,0.461538,0.8,0.810811]
f_measure
0.7467815664222578 [0.588235,0.909091,0.948718,0.7,0.666667,0.875,0.8]
f_measure
0.7414843695796203 [0.630435,0.75,0.975,0.728682,0.6,0.6,0.709677]
f_measure
0.7931311160723655 [0.771084,0.545455,0.961039,0.727273,0.666667,0.888889,0.864865]
kappa
0.7017436524931172
kappa
0.6405928365582544
kappa
0.792806449390202
kappa
0.6944149573673937
kappa
0.684749161566919
kappa
0.6748529210562321
kappa
0.6390448954277642
kappa
0.6821083535315604
kappa
0.6686026648445508
kappa
0.7360723760288416
kb_relative_information_score
0.7405707849979041
kb_relative_information_score
0.6872401221608841
kb_relative_information_score
0.8144820555517369
kb_relative_information_score
0.7379935441842137
kb_relative_information_score
0.7195231063259852
kb_relative_information_score
0.6991228752612102
kb_relative_information_score
0.6766953936412592
kb_relative_information_score
0.7290563548146076
kb_relative_information_score
0.6911386563205622
kb_relative_information_score
0.7627953603866959
mean_absolute_error
0.06593406593406598
mean_absolute_error
0.07952871870397651
mean_absolute_error
0.04565537555228276
mean_absolute_error
0.06774668630338739
mean_absolute_error
0.06921944035346103
mean_absolute_error
0.07216494845360831
mean_absolute_error
0.07952871870397651
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.07363770250368196
mean_absolute_error
0.058910162002945535
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
0.7710785510785512 [0.682927,1,0.925,0.7,0.571429,1,0.888889]
precision
0.7235943988000378 [0.55814,0.8,0.925,0.661765,0.571429,0.875,0.9375]
precision
0.839300218681662 [0.727273,1,1,0.8,0.583333,1,1]
precision
0.7679291740844196 [0.690476,0.833333,0.945946,0.691176,0.588235,1,0.888889]
precision
0.7616242159260395 [0.64,1,0.947368,0.681159,0.625,1,0.888889]
precision
0.7474771531724653 [0.674419,0.5,1,0.691176,0.6,0.875,0.736842]
precision
0.7229626902307315 [0.547619,1,0.948718,0.666667,0.6,0.75,0.833333]
precision
0.7555200687526631 [0.714286,1,0.948718,0.671233,0.714286,0.777778,0.692308]
precision
0.7654533856511762 [0.557692,0.6,0.95122,0.758065,0.642857,1,0.916667]
precision
0.7943656599835227 [0.744186,0.6,0.973684,0.738462,0.666667,0.8,0.888889]
predictive_accuracy
0.7692307692307692
predictive_accuracy
0.7216494845360825
predictive_accuracy
0.8402061855670104
predictive_accuracy
0.7628865979381443
predictive_accuracy
0.7577319587628866
predictive_accuracy
0.7474226804123711
predictive_accuracy
0.7216494845360825
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.7422680412371134
predictive_accuracy
0.7938144329896908
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
0.7692307692307693 [0.682927,1,0.925,0.731343,0.533333,0.875,0.842105]
recall
0.7216494845360825 [0.585366,0.8,0.948718,0.671642,0.5,1,0.789474]
recall
0.8402061855670103 [0.8,1,0.974359,0.823529,0.4375,1,0.947368]
recall
0.7628865979381443 [0.725,1,0.897436,0.691176,0.625,0.857143,0.842105]
recall
0.7577319587628866 [0.8,0.8,0.923077,0.691176,0.3125,1,0.842105]
recall
0.7474226804123711 [0.725,0.333333,0.948718,0.701493,0.5625,1,0.736842]
recall
0.7216494845360825 [0.575,0.833333,0.948718,0.716418,0.375,0.857143,0.789474]
recall
0.7525773195876289 [0.5,0.833333,0.948718,0.731343,0.625,1,0.947368]
recall
0.7422680412371134 [0.725,1,1,0.701493,0.5625,0.428571,0.578947]
recall
0.7938144329896907 [0.8,0.5,0.948718,0.716418,0.666667,1,0.842105]
relative_absolute_error
0.29652832511898686
relative_absolute_error
0.3578214770442789
relative_absolute_error
0.20560556743432243
relative_absolute_error
0.30509213232189814
relative_absolute_error
0.3117245699810698
relative_absolute_error
0.32430706087807415
relative_absolute_error
0.3573996181105308
relative_absolute_error
0.31768854943158276
relative_absolute_error
0.3309255723245655
relative_absolute_error
0.2646631251443555
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
0.25677629550654785
root_mean_squared_error
0.28200836637230553
root_mean_squared_error
0.21367118559198092
root_mean_squared_error
0.2602819361834151
root_mean_squared_error
0.2630958767321545
root_mean_squared_error
0.2686353447586678
root_mean_squared_error
0.28200836637230553
root_mean_squared_error
0.26588003761759677
root_mean_squared_error
0.2713626770646287
root_mean_squared_error
0.24271415698913307
root_relative_squared_error
0.7702256114358742
root_relative_squared_error
0.846274414932877
root_relative_squared_error
0.6417948038550456
root_relative_squared_error
0.7817974787617581
root_relative_squared_error
0.7902495890335969
root_relative_squared_error
0.8051929600475948
root_relative_squared_error
0.8452765271133467
root_relative_squared_error
0.7969343523995494
root_relative_squared_error
0.8133677174476045
root_relative_squared_error
0.727285817164622
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
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total_cost
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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_training
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wall_clock_time_millis
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wall_clock_time_millis_training
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