10327833
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)
8183486
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
17111.743992628886
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6238038855537555
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.00044751064678453964
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
41560
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
21577352
description
https://api.openml.org/data/download/21577352/description.xml
-1
21577353
predictions
https://api.openml.org/data/download/21577353/predictions.arff
area_under_roc_curve
0.8340079849856465 [0.778697,0.887728,0.969574,0.76066,0.774514,0.956996,0.919177]
average_cost
0
f_measure
0.752511651960213 [0.638197,0.781818,0.951407,0.687218,0.612795,0.923077,0.859416]
kappa
0.6813066814858912
kb_relative_information_score
0.7223684357130793
mean_absolute_error
0.0708029734304855
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7538936719072492 [0.609977,0.781818,0.951407,0.695586,0.654676,0.929577,0.86631]
predictive_accuracy
0.7521895929933023
prior_entropy
2.4106995883230287
recall
0.7521895929933025 [0.669154,0.781818,0.951407,0.679049,0.575949,0.916667,0.852632]
relative_absolute_error
0.3184391185546677
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.266088281272373
root_relative_squared_error
0.7981920010702437
total_cost
0
area_under_roc_curve
0.8351506209316056 [0.79197,0.797368,0.962097,0.758396,0.780556,0.9375,0.941687]
area_under_roc_curve
0.8252513625869897 [0.745178,0.9,0.983954,0.753144,0.801264,0.928571,0.889023]
area_under_roc_curve
0.8782781263680141 [0.811039,1,0.987179,0.855042,0.713132,1,0.941654]
area_under_roc_curve
0.7975506353686852 [0.735552,0.994709,0.929446,0.719188,0.670646,0.928571,0.944511]
area_under_roc_curve
0.84707484864042 [0.816558,0.897354,0.980728,0.781513,0.679073,0.997326,0.944511]
area_under_roc_curve
0.8406297182527634 [0.795292,0.744681,0.961538,0.753966,0.943469,0.994652,0.880451]
area_under_roc_curve
0.8030796392743572 [0.753571,0.914007,0.955004,0.704431,0.744382,0.925898,0.912481]
area_under_roc_curve
0.8222668055991795 [0.760552,0.914007,0.980728,0.71583,0.795646,1,0.930226]
area_under_roc_curve
0.8451272686653591 [0.791558,0.906028,0.993548,0.77988,0.838132,0.857143,0.865564]
area_under_roc_curve
0.8452932680626539 [0.785552,0.833333,0.961538,0.783406,0.780447,0.997312,0.941654]
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
0.7488826051529044 [0.651685,0.666667,0.926829,0.68254,0.580645,0.933333,0.894737]
f_measure
0.7458731183011333 [0.58427,0.888889,0.974359,0.676692,0.666667,0.923077,0.833333]
f_measure
0.8207798158313622 [0.7,1,0.987013,0.805556,0.56,1,0.894737]
f_measure
0.706393768710094 [0.582278,0.833333,0.906667,0.638889,0.428571,0.923077,0.918919]
f_measure
0.7689738418440206 [0.681818,0.8,0.962025,0.716418,0.48,0.933333,0.918919]
f_measure
0.7516659310735535 [0.675,0.545455,0.96,0.677165,0.75,0.875,0.769231]
f_measure
0.7036379609986443 [0.590909,0.833333,0.902439,0.609375,0.615385,0.857143,0.842105]
f_measure
0.7292077203475046 [0.617284,0.833333,0.962025,0.625,0.625,1,0.809524]
f_measure
0.770113175419452 [0.651163,0.666667,0.975,0.712121,0.758621,0.833333,0.823529]
f_measure
0.7706349771629015 [0.650602,0.8,0.96,0.716418,0.580645,0.941176,0.894737]
kappa
0.678791138602212
kappa
0.6668498420112653
kappa
0.7710278751692297
kappa
0.6172775412729727
kappa
0.7066767465035566
kappa
0.6870441942530667
kappa
0.6231854426497649
kappa
0.6588549592506171
kappa
0.7016404647983596
kappa
0.7023119416217691
kb_relative_information_score
0.7177770897184175
kb_relative_information_score
0.7098341585750703
kb_relative_information_score
0.7937701956530867
kb_relative_information_score
0.6695151682853357
kb_relative_information_score
0.739801914889075
kb_relative_information_score
0.7303751443896739
kb_relative_information_score
0.6756360860944755
kb_relative_information_score
0.7138816128310321
kb_relative_information_score
0.7333235558991423
kb_relative_information_score
0.7399323742687928
mean_absolute_error
0.07179487179487186
mean_absolute_error
0.07363770250368196
mean_absolute_error
0.050073637702503684
mean_absolute_error
0.08394698085419744
mean_absolute_error
0.0648011782032401
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.08394698085419744
mean_absolute_error
0.07658321060382924
mean_absolute_error
0.06627393225331374
mean_absolute_error
0.06627393225331374
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
0.7537400922994143 [0.604167,0.75,0.904762,0.728814,0.5625,1,0.894737]
precision
0.7530073650828654 [0.541667,1,0.974359,0.681818,0.714286,1,0.882353]
precision
0.8264906251884006 [0.7,1,1,0.763158,0.777778,1,0.894737]
precision
0.7118394055453199 [0.589744,0.714286,0.944444,0.605263,0.5,1,0.944444]
precision
0.7744363740497763 [0.625,0.8,0.95,0.727273,0.666667,0.875,0.944444]
precision
0.7593356242840779 [0.675,0.6,1,0.716667,0.625,0.777778,0.75]
precision
0.710623050388252 [0.541667,0.833333,0.860465,0.639344,0.8,0.857143,0.842105]
precision
0.7289595277980246 [0.609756,0.833333,0.95,0.655738,0.625,1,0.73913]
precision
0.7809106655353006 [0.608696,0.555556,0.95122,0.723077,0.846154,1,0.933333]
precision
0.7766231452622606 [0.627907,1,1,0.716418,0.5625,0.888889,0.894737]
predictive_accuracy
0.7487179487179487
predictive_accuracy
0.7422680412371134
predictive_accuracy
0.8247422680412372
predictive_accuracy
0.7061855670103092
predictive_accuracy
0.7731958762886597
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.7061855670103092
predictive_accuracy
0.7319587628865979
predictive_accuracy
0.7680412371134021
predictive_accuracy
0.7680412371134021
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
0.7487179487179487 [0.707317,0.6,0.95,0.641791,0.6,0.875,0.894737]
recall
0.7422680412371134 [0.634146,0.8,0.974359,0.671642,0.625,0.857143,0.789474]
recall
0.8247422680412371 [0.7,1,0.974359,0.852941,0.4375,1,0.894737]
recall
0.7061855670103093 [0.575,1,0.871795,0.676471,0.375,0.857143,0.894737]
recall
0.7731958762886598 [0.75,0.8,0.974359,0.705882,0.375,1,0.894737]
recall
0.7525773195876289 [0.675,0.5,0.923077,0.641791,0.9375,1,0.789474]
recall
0.7061855670103093 [0.65,0.833333,0.948718,0.58209,0.5,0.857143,0.842105]
recall
0.7319587628865979 [0.625,0.833333,0.974359,0.597015,0.625,1,0.894737]
recall
0.7680412371134021 [0.7,0.833333,1,0.701493,0.6875,0.714286,0.736842]
recall
0.7680412371134021 [0.675,0.666667,0.923077,0.716418,0.6,1,0.894737]
relative_absolute_error
0.3228863984628969
relative_absolute_error
0.3313161824484064
relative_absolute_error
0.22550288041183755
relative_absolute_error
0.3780489465727869
relative_absolute_error
0.2918272570035547
relative_absolute_error
0.31768854943158276
relative_absolute_error
0.37725515245000474
relative_absolute_error
0.3441625952175481
relative_absolute_error
0.29783301509210885
relative_absolute_error
0.2977460157874
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
0.26794565082283356
root_mean_squared_error
0.2713626770646287
root_mean_squared_error
0.2237713960775677
root_mean_squared_error
0.2897360537699743
root_mean_squared_error
0.25456075542636203
root_mean_squared_error
0.26588003761759677
root_mean_squared_error
0.2897360537699743
root_mean_squared_error
0.2767367171226638
root_mean_squared_error
0.2574372394454884
root_mean_squared_error
0.2574372394454884
root_relative_squared_error
0.803729185084912
root_relative_squared_error
0.8143279354496493
root_relative_squared_error
0.6721323647644989
root_relative_squared_error
0.8702675247664012
root_relative_squared_error
0.7646130181073219
root_relative_squared_error
0.7969343523995494
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.7716283687160117
root_relative_squared_error
0.7714030997668557
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
0
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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