10327861
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)
8183514
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
501.5744284574111
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6985159993759883
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.18598884343194927
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
47663
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
21577408
description
https://api.openml.org/data/download/21577408/description.xml
-1
21577409
predictions
https://api.openml.org/data/download/21577409/predictions.arff
area_under_roc_curve
0.8359917513146184 [0.789149,0.906705,0.965116,0.780823,0.721278,0.949516,0.896697]
average_cost
0
f_measure
0.7575076980887747 [0.665012,0.825688,0.95201,0.712857,0.532374,0.902778,0.823529]
kappa
0.6866496990858986
kb_relative_information_score
0.7198557373998113
mean_absolute_error
0.06903657908294746
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7591554395110223 [0.663366,0.833333,0.965789,0.686382,0.616667,0.902778,0.836957]
predictive_accuracy
0.7583719732096857
prior_entropy
2.4106995883230287
recall
0.7583719732096857 [0.666667,0.818182,0.938619,0.741456,0.468354,0.902778,0.810526]
relative_absolute_error
0.31049469148053904
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.2627481286002765
root_relative_squared_error
0.7881724574343038
total_cost
0
area_under_roc_curve
0.8359225535888843 [0.787061,1,0.952823,0.783291,0.683333,0.9375,0.915371]
area_under_roc_curve
0.829157272198558 [0.724932,0.997354,0.967907,0.779057,0.735955,0.997326,0.918195]
area_under_roc_curve
0.8758065119135839 [0.833279,1,0.987179,0.843721,0.642205,0.997326,0.970827]
area_under_roc_curve
0.83258019362405 [0.807792,0.994709,0.932672,0.761671,0.795646,0.928571,0.886165]
area_under_roc_curve
0.8491762548594735 [0.873539,0.9,0.955087,0.791083,0.616573,1,0.915338]
area_under_roc_curve
0.8192984412347979 [0.811039,0.664007,0.961538,0.748384,0.735955,0.997326,0.848421]
area_under_roc_curve
0.8141795045906295 [0.713312,0.916667,0.971133,0.774709,0.676264,0.925898,0.886165]
area_under_roc_curve
0.8239674134882538 [0.727273,0.914007,0.955087,0.755435,0.804073,0.997326,0.924511]
area_under_roc_curve
0.8245336433219228 [0.778571,0.992021,0.996774,0.786931,0.707514,0.714286,0.786617]
area_under_roc_curve
0.8552933202657292 [0.836039,0.74734,0.971133,0.783406,0.819367,0.994624,0.915338]
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
0.7577243177243178 [0.666667,1,0.925,0.714286,0.444444,0.933333,0.864865]
f_measure
0.7456645553442516 [0.567901,0.909091,0.948718,0.710145,0.551724,0.933333,0.888889]
f_measure
0.8131835518433456 [0.74359,1,0.987013,0.791667,0.384615,0.933333,0.947368]
f_measure
0.7551020522478408 [0.691358,0.833333,0.918919,0.690647,0.625,0.923077,0.810811]
f_measure
0.7753762665962417 [0.776471,0.888889,0.935065,0.727273,0.347826,1,0.864865]
f_measure
0.7306871159412931 [0.7,0.444444,0.96,0.671429,0.551724,0.933333,0.7]
f_measure
0.724930821537956 [0.54321,0.909091,0.961039,0.704225,0.461538,0.857143,0.810811]
f_measure
0.7381184844250117 [0.597015,0.833333,0.935065,0.680556,0.689655,0.933333,0.772727]
f_measure
0.7343030774822529 [0.622222,0.8,0.987342,0.720588,0.518519,0.6,0.709677]
f_measure
0.7829502871494323 [0.731707,0.6,0.961039,0.716418,0.666667,0.888889,0.864865]
kappa
0.6871052541736369
kappa
0.6733445586062334
kappa
0.7647588691796009
kappa
0.6803076078000548
kappa
0.7164038843061501
kappa
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kappa
0.6443199114431991
kappa
0.6671242278654771
kappa
0.6585214330089045
kappa
0.7220440745036502
kb_relative_information_score
0.7236679400481429
kb_relative_information_score
0.7186162135993344
kb_relative_information_score
0.7862248034423095
kb_relative_information_score
0.7238154079304282
kb_relative_information_score
0.7401212451931733
kb_relative_information_score
0.679974830493869
kb_relative_information_score
0.6802768239343557
kb_relative_information_score
0.7159752304427969
kb_relative_information_score
0.6787845560081033
kb_relative_information_score
0.751704924306145
mean_absolute_error
0.06886446886446893
mean_absolute_error
0.07216494845360831
mean_absolute_error
0.05154639175257733
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.06185567010309282
mean_absolute_error
0.07658321060382924
mean_absolute_error
0.07805596465390288
mean_absolute_error
0.07363770250368196
mean_absolute_error
0.07511045655375559
mean_absolute_error
0.06185567010309282
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
0.7587399992194512 [0.675,1,0.925,0.684932,0.5,1,0.888889]
precision
0.7465701550191509 [0.575,0.833333,0.948718,0.690141,0.615385,0.875,0.941176]
precision
0.812635648399349 [0.763158,1,1,0.75,0.5,0.875,0.947368]
precision
0.7607184553975433 [0.682927,0.714286,0.971429,0.676056,0.625,1,0.833333]
precision
0.7807170848082404 [0.733333,1,0.947368,0.693333,0.571429,1,0.888889]
precision
0.7359526124442802 [0.7,0.666667,1,0.643836,0.615385,0.875,0.666667]
precision
0.7295726744570756 [0.536585,1,0.973684,0.666667,0.6,0.857143,0.833333]
precision
0.7503404845089597 [0.740741,0.833333,0.947368,0.636364,0.769231,0.875,0.68]
precision
0.7556865721309917 [0.56,0.666667,0.975,0.710145,0.636364,1,0.916667]
precision
0.7852268127363081 [0.714286,0.75,0.973684,0.716418,0.666667,0.8,0.888889]
predictive_accuracy
0.7589743589743589
predictive_accuracy
0.7474226804123711
predictive_accuracy
0.8195876288659794
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.7835051546391754
predictive_accuracy
0.7319587628865979
predictive_accuracy
0.7268041237113403
predictive_accuracy
0.7422680412371134
predictive_accuracy
0.7371134020618557
predictive_accuracy
0.7835051546391754
prior_entropy
2.4086971702017688
prior_entropy
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prior_entropy
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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 [0.658537,1,0.925,0.746269,0.4,0.875,0.842105]
recall
0.7474226804123711 [0.560976,1,0.948718,0.731343,0.5,1,0.842105]
recall
0.8195876288659794 [0.725,1,0.974359,0.838235,0.3125,1,0.947368]
recall
0.7525773195876289 [0.7,1,0.871795,0.705882,0.625,0.857143,0.789474]
recall
0.7835051546391752 [0.825,0.8,0.923077,0.764706,0.25,1,0.842105]
recall
0.7319587628865979 [0.7,0.333333,0.923077,0.701493,0.5,1,0.736842]
recall
0.7268041237113402 [0.55,0.833333,0.948718,0.746269,0.375,0.857143,0.789474]
recall
0.7422680412371134 [0.5,0.833333,0.923077,0.731343,0.625,1,0.894737]
recall
0.7371134020618557 [0.7,1,1,0.731343,0.4375,0.428571,0.578947]
recall
0.7835051546391752 [0.75,0.5,0.948718,0.716418,0.666667,1,0.842105]
relative_absolute_error
0.30970736179094194
relative_absolute_error
0.32468985879943824
relative_absolute_error
0.23213531807100932
relative_absolute_error
0.3183570076402415
relative_absolute_error
0.27856238168521125
relative_absolute_error
0.3441625952175481
relative_absolute_error
0.35078110666403944
relative_absolute_error
0.3309255723245655
relative_absolute_error
0.33754408377105677
relative_absolute_error
0.27789628140157335
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
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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
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root_mean_squared_error
0.2624204048172873
root_mean_squared_error
0.2686353447586678
root_mean_squared_error
0.22703830459324992
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
0.7871556693148514
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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