10327774
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)
8183427
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
696.7376145562746
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5281207174959481
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.0001473666628496018
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
43049
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
21577234
description
https://api.openml.org/data/download/21577234/description.xml
-1
21577235
predictions
https://api.openml.org/data/download/21577235/predictions.arff
area_under_roc_curve
0.8071313822294899 [0.754304,0.688523,0.955819,0.732846,0.721759,0.963405,0.922156]
average_cost
0
f_measure
0.7152349450204841 [0.602871,0.494118,0.934194,0.652268,0.55303,0.917808,0.847545]
kappa
0.6325289799972068
kb_relative_information_score
0.6692952779379869
mean_absolute_error
0.08081254139986771
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7204977355414046 [0.580645,0.7,0.942708,0.632682,0.688679,0.905405,0.832487]
predictive_accuracy
0.7171561051004638
prior_entropy
2.4106995883230287
recall
0.7171561051004637 [0.626866,0.381818,0.925831,0.673105,0.462025,0.930556,0.863158]
relative_absolute_error
0.36345753864139674
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.28427546746046817
root_relative_squared_error
0.8527485808185005
total_cost
0
area_under_roc_curve
0.8348562020887997 [0.808204,0.597368,0.956048,0.771922,0.758333,0.9375,0.938846]
area_under_roc_curve
0.8041081605083471 [0.738642,0.6,0.974276,0.707956,0.806882,0.997326,0.915338]
area_under_roc_curve
0.8078891359063203 [0.742045,0.6,0.961538,0.762722,0.647823,0.997326,0.912481]
area_under_roc_curve
0.7649645055118052 [0.723052,0.6,0.9134,0.680089,0.642205,0.928571,0.938797]
area_under_roc_curve
0.8347320666929221 [0.804058,0.692063,0.97105,0.77416,0.681882,1,0.941654]
area_under_roc_curve
0.8379314706930286 [0.804545,0.666667,0.942266,0.772417,0.917837,0.994652,0.854135]
area_under_roc_curve
0.7895253127723961 [0.756331,0.833333,0.945409,0.693031,0.653441,0.925898,0.930226]
area_under_roc_curve
0.7964159274331011 [0.694805,0.664007,0.983954,0.721648,0.673455,1,0.959398]
area_under_roc_curve
0.7948188693027984 [0.728571,0.906028,0.948718,0.714596,0.710323,0.854469,0.915338]
area_under_roc_curve
0.805522147527886 [0.741558,0.666667,0.961538,0.728699,0.727747,0.997312,0.915338]
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
0.7557332724616075 [0.690476,0.285714,0.936709,0.7,0.615385,0.933333,0.871795]
f_measure
0.7077986449120469 [0.571429,0.333333,0.938272,0.615385,0.714286,0.933333,0.864865]
f_measure
0.7181127921334106 [0.597403,0.333333,0.96,0.69281,0.416667,0.933333,0.842105]
f_measure
0.6611343182204109 [0.564103,0.333333,0.88,0.596026,0.384615,0.923077,0.871795]
f_measure
0.7467688582784595 [0.666667,0.4,0.926829,0.706767,0.5,1,0.894737]
f_measure
0.7501271599222814 [0.682927,0.5,0.921053,0.70229,0.756757,0.875,0.736842]
f_measure
0.6794494356868291 [0.586957,0.8,0.9,0.59375,0.454545,0.857143,0.809524]
f_measure
0.6938591252037184 [0.519481,0.444444,0.974359,0.638298,0.444444,1,0.857143]
f_measure
0.6995273189703975 [0.55814,0.666667,0.945946,0.627737,0.538462,0.769231,0.864865]
f_measure
0.721654438670621 [0.585366,0.5,0.96,0.648276,0.583333,0.941176,0.864865]
kappa
0.6861301369863013
kappa
0.6270767540848552
kappa
0.6382379846597707
kappa
0.5572486921105297
kappa
0.6799560076986527
kappa
0.6838352629613282
kappa
0.5956123564789503
kappa
0.6119598579163361
kappa
0.6072470232989053
kappa
0.6358074048322614
kb_relative_information_score
0.709607645592148
kb_relative_information_score
0.671413012570152
kb_relative_information_score
0.6634727031164157
kb_relative_information_score
0.6012550495787032
kb_relative_information_score
0.7074157464178461
kb_relative_information_score
0.7175896744400753
kb_relative_information_score
0.6435539147676235
kb_relative_information_score
0.6515123537841916
kb_relative_information_score
0.653370206058079
kb_relative_information_score
0.6734413259441634
mean_absolute_error
0.06886446886446893
mean_absolute_error
0.0824742268041238
mean_absolute_error
0.07805596465390288
mean_absolute_error
0.0957290132547865
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.08983799705449197
mean_absolute_error
0.08541973490427107
mean_absolute_error
0.0868924889543447
mean_absolute_error
0.07952871870397651
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
0.7596490994268337 [0.674419,0.5,0.948718,0.671233,0.727273,1,0.85]
precision
0.7241887579774178 [0.52,1,0.904762,0.634921,0.833333,0.875,0.888889]
precision
0.7391230147673448 [0.621622,1,1,0.623529,0.625,0.875,0.842105]
precision
0.6800276526616504 [0.578947,1,0.916667,0.542169,0.5,1,0.85]
precision
0.754202052124383 [0.617021,0.4,0.883721,0.723077,0.75,1,0.894737]
precision
0.7619892766477818 [0.666667,1,0.945946,0.71875,0.666667,0.777778,0.736842]
precision
0.7016889160850043 [0.519231,1,0.878049,0.622951,0.833333,0.857143,0.73913]
precision
0.6956788804614892 [0.540541,0.666667,0.974359,0.608108,0.545455,1,0.782609]
precision
0.7127951733509779 [0.521739,0.555556,1,0.614286,0.7,0.833333,0.888889]
precision
0.7417299195649711 [0.571429,1,1,0.602564,0.777778,0.888889,0.888889]
predictive_accuracy
0.7589743589743589
predictive_accuracy
0.711340206185567
predictive_accuracy
0.7268041237113403
predictive_accuracy
0.6649484536082474
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.6855670103092784
predictive_accuracy
0.7010309278350516
predictive_accuracy
0.6958762886597938
predictive_accuracy
0.7216494845360825
prior_entropy
2.4086971702017688
prior_entropy
2.4034011426545026
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 [0.707317,0.2,0.925,0.731343,0.533333,0.875,0.894737]
recall
0.711340206185567 [0.634146,0.2,0.974359,0.597015,0.625,1,0.842105]
recall
0.7268041237113402 [0.575,0.2,0.923077,0.779412,0.3125,1,0.842105]
recall
0.6649484536082474 [0.55,0.2,0.846154,0.661765,0.3125,0.857143,0.894737]
recall
0.7525773195876289 [0.725,0.4,0.974359,0.691176,0.375,1,0.894737]
recall
0.7525773195876289 [0.7,0.333333,0.897436,0.686567,0.875,1,0.736842]
recall
0.6855670103092784 [0.675,0.666667,0.923077,0.567164,0.3125,0.857143,0.894737]
recall
0.7010309278350515 [0.5,0.333333,0.974359,0.671642,0.375,1,0.947368]
recall
0.6958762886597938 [0.6,0.833333,0.897436,0.641791,0.4375,0.714286,0.842105]
recall
0.7216494845360825 [0.6,0.333333,0.923077,0.701493,0.466667,1,0.842105]
relative_absolute_error
0.30970736179094194
relative_absolute_error
0.3710741243422152
relative_absolute_error
0.3515191959361001
relative_absolute_error
0.43110844784616026
relative_absolute_error
0.3183570076402415
relative_absolute_error
0.31768854943158276
relative_absolute_error
0.4037291982359698
relative_absolute_error
0.383873663896496
relative_absolute_error
0.39049217534298725
relative_absolute_error
0.35729521894488014
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
0.2624204048172873
root_mean_squared_error
0.28718326344709544
root_mean_squared_error
0.27938497571255133
root_mean_squared_error
0.30940105567820303
root_mean_squared_error
0.26588003761759677
root_mean_squared_error
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root_mean_squared_error
0.2997298734769225
root_mean_squared_error
0.29226654769964877
root_mean_squared_error
0.29477531944575125
root_mean_squared_error
0.28200836637230553
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
0.7986122514320049
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
0.8450297573434302
total_cost
0
total_cost
0
total_cost
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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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wall_clock_time_millis
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