10327832
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)
8183485
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
0.9963167675010125
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.8350264578298481
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.0015426280688508745
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
17342
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
21577350
description
https://api.openml.org/data/download/21577350/description.xml
-1
21577351
predictions
https://api.openml.org/data/download/21577351/predictions.arff
area_under_roc_curve
0.7265151271351171 [0.721168,0.5,0.908527,0.676945,0.5,0.5,0.878623]
average_cost
0
kappa
0.48179049701750165
kb_relative_information_score
0.49642905380928126
mean_absolute_error
0.1078972547287843
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
predictive_accuracy
0.622359608449253
prior_entropy
2.4106995883230287
recall
0.622359608449253 [0.539801,0,0.826087,0.77266,0,0,0.778947]
relative_absolute_error
0.4852720871113692
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.3284771753543681
root_relative_squared_error
0.9853416041032785
total_cost
0
area_under_roc_curve
0.7340617799539171 [0.717137,0.5,0.893548,0.695604,0.5,0.5,0.915371]
area_under_roc_curve
0.7480186703417292 [0.740395,0.5,0.983954,0.680632,0.5,0.5,0.883308]
area_under_roc_curve
0.7252157519899456 [0.713799,0.5,0.89421,0.690126,0.5,0.5,0.85985]
area_under_roc_curve
0.7046948750174558 [0.673539,0.5,0.874938,0.651611,0.5,0.5,0.912481]
area_under_roc_curve
0.7357850393334264 [0.720292,0.5,0.916625,0.691293,0.5,0.5,0.90391]
area_under_roc_curve
0.7435264177021862 [0.783279,0.5,0.907031,0.697849,0.5,0.5,0.856992]
area_under_roc_curve
0.7256447159647565 [0.725325,0.5,0.929446,0.662593,0.5,0.5,0.874737]
area_under_roc_curve
0.7165614928632456 [0.679545,0.5,0.868569,0.697438,0.5,0.5,0.880451]
area_under_roc_curve
0.7149821045096636 [0.700812,0.5,0.923077,0.652662,0.5,0.5,0.865564]
area_under_roc_curve
0.7164725267112871 [0.757305,0.5,0.89421,0.649136,0.5,0.5,0.833534]
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
kappa
0.4983695652173913
kappa
0.523444837800737
kappa
0.4795869621136956
kappa
0.44252873563218387
kappa
0.49892684346465854
kappa
0.5175541252194266
kappa
0.47288262843659495
kappa
0.4599663028349571
kappa
0.4611505006943936
kappa
0.4626038781163434
kb_relative_information_score
0.5109716327587548
kb_relative_information_score
0.5309091091969599
kb_relative_information_score
0.4948119604297021
kb_relative_information_score
0.47256473471614113
kb_relative_information_score
0.5119655314448339
kb_relative_information_score
0.520098036483399
kb_relative_information_score
0.4875428344851504
kb_relative_information_score
0.4763525244402388
kb_relative_information_score
0.4806360391054274
kb_relative_information_score
0.4785957622582261
mean_absolute_error
0.10402930402930405
mean_absolute_error
0.1001472754050074
mean_absolute_error
0.10751104565537556
mean_absolute_error
0.11487481590574372
mean_absolute_error
0.1045655375552283
mean_absolute_error
0.1001472754050074
mean_absolute_error
0.11192930780559646
mean_absolute_error
0.11192930780559646
mean_absolute_error
0.11192930780559646
mean_absolute_error
0.11192930780559646
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]
predictive_accuracy
0.6358974358974359
predictive_accuracy
0.6494845360824741
predictive_accuracy
0.6237113402061856
predictive_accuracy
0.5979381443298969
predictive_accuracy
0.634020618556701
predictive_accuracy
0.6494845360824741
predictive_accuracy
0.6082474226804123
predictive_accuracy
0.6082474226804123
predictive_accuracy
0.6082474226804123
predictive_accuracy
0.6082474226804123
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
0.6358974358974359 [0.512195,0,0.8,0.820896,0,0,0.842105]
recall
0.6494845360824743 [0.585366,0,0.974359,0.731343,0,0,0.789474]
recall
0.6237113402061856 [0.525,0,0.794872,0.808824,0,0,0.736842]
recall
0.5979381443298969 [0.425,0,0.769231,0.779412,0,0,0.842105]
recall
0.634020618556701 [0.525,0,0.846154,0.779412,0,0,0.842105]
recall
0.6494845360824743 [0.625,0,0.820513,0.820896,0,0,0.736842]
recall
0.6082474226804123 [0.6,0,0.871795,0.671642,0,0,0.789474]
recall
0.6082474226804123 [0.45,0,0.74359,0.835821,0,0,0.789474]
recall
0.6082474226804123 [0.525,0,0.846154,0.746269,0,0,0.736842]
recall
0.6082474226804123 [0.625,0,0.794872,0.731343,0,0,0.684211]
relative_absolute_error
0.46785580185440134
relative_absolute_error
0.4505900081298324
relative_absolute_error
0.4841679491195336
relative_absolute_error
0.5173301374153919
relative_absolute_error
0.4709030738011903
relative_absolute_error
0.45005877836140884
relative_absolute_error
0.5030068699333391
relative_absolute_error
0.5030068699333391
relative_absolute_error
0.5030068699333391
relative_absolute_error
0.5028599377742752
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
0.32253574070063
root_mean_squared_error
0.3164605432040579
root_mean_squared_error
0.3278887702489604
root_mean_squared_error
0.3389318750217272
root_mean_squared_error
0.32336594990077155
root_mean_squared_error
0.3164605432040579
root_mean_squared_error
0.3345583772760689
root_mean_squared_error
0.3345583772760689
root_mean_squared_error
0.3345583772760689
root_mean_squared_error
0.3345583772760689
root_relative_squared_error
0.9674774986569211
root_relative_squared_error
0.9496614036471187
root_relative_squared_error
0.9848651721811822
root_relative_squared_error
1.0180348634615146
root_relative_squared_error
0.9712801743248011
root_relative_squared_error
0.9485416066514212
root_relative_squared_error
1.002787069399385
root_relative_squared_error
1.002787069399385
root_relative_squared_error
1.002787069399385
root_relative_squared_error
1.0024943160500923
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
306.2655760004418
usercpu_time_millis
310.472890996607
usercpu_time_millis
303.120452001167
usercpu_time_millis
299.6414230001392
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
301.70111800543964
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
299.91341500135604
usercpu_time_millis_testing
27.412213996285573
usercpu_time_millis_testing
27.002504000847694
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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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
354.311466217041
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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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