10585128
28997
Marc Boel
9967
Supervised Classification
19039
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2)
8301410
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
n_jobs
null
19031
remainder
"drop"
19031
sparse_threshold
0.3
19031
transformer_weights
null
19031
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
19031
verbose
false
19031
verbose_feature_names_out
true
19031
add_indicator
false
19032
copy
true
19032
fill_value
null
19032
missing_values
NaN
19032
strategy
"most_frequent"
19032
verbose
0
19032
categories
"auto"
19033
drop
null
19033
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
19033
handle_unknown
"ignore"
19033
sparse
true
19033
memory
null
19039
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19039
verbose
false
19039
ccp_alpha
0.0
19040
criterion
"friedman_mse"
19040
init
null
19040
learning_rate
0.6943789278369717
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
326
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
112
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
14
19040
random_state
52202
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.030499789980735076
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1504
steel-plates-fault
https://www.openml.org/data/download/1592296/php9xWOpn
-1
22096524
description
https://api.openml.org/data/download/22096524/description.xml
-1
22096525
predictions
https://api.openml.org/data/download/22096525/predictions.arff
area_under_roc_curve
0.9975508692656357 [0.997551,0.997551]
average_cost
0
f_measure
0.9814720215918439 [0.985771,0.973373]
kappa
0.9591439620463801
kb_relative_information_score
0.945309934634626
mean_absolute_error
0.025789828924061762
mean_prior_absolute_error
0.45306405137877787
weighted_recall
0.98145285935085 [0.983438,0.977712]
number_of_instances
1941 [1268,673]
precision
0.9815117216063289 [0.988114,0.969072]
predictive_accuracy
0.9814528593508501
prior_entropy
0.9311124141243181
relative_absolute_error
0.05692314110019851
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.11941716404394785
root_relative_squared_error
0.2509141224595533
total_cost
0
unweighted_recall
0.9805751121444073 [0.983438,0.977712]
area_under_roc_curve
0.9967577582213988 [0.996758,0.996758]
area_under_roc_curve
0.9988247737689505 [0.998825,0.998825]
area_under_roc_curve
0.9990598190151604 [0.99906,0.99906]
area_under_roc_curve
0.9971794570454813 [0.997179,0.997179]
area_under_roc_curve
0.9996474321306853 [0.999647,0.999647]
area_under_roc_curve
0.9995299095075801 [0.99953,0.99953]
area_under_roc_curve
0.9991773416382654 [0.999177,0.999177]
area_under_roc_curve
0.9984722058996357 [0.998472,0.998472]
area_under_roc_curve
0.9920634920634921 [0.992063,0.992063]
area_under_roc_curve
0.9963818860877686 [0.996382,0.996382]
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
0.9897772115163419 [0.992063,0.985507]
f_measure
0.979381443298969 [0.984252,0.970149]
f_measure
0.9896907216494846 [0.992126,0.985075]
f_measure
0.9638526273233115 [0.972549,0.947368]
f_measure
0.9896907216494846 [0.992126,0.985075]
f_measure
0.9845627951410111 [0.988142,0.977778]
f_measure
0.979451230664087 [0.984127,0.970588]
f_measure
0.9744315837852634 [0.97992,0.964029]
f_measure
0.9845093698074424 [0.988142,0.977778]
f_measure
0.9793087488929247 [0.984252,0.970149]
kappa
0.9775733179988499
kappa
0.9544012222352802
kappa
0.9772006111176402
kappa
0.9199198018634274
kappa
0.9772006111176402
kappa
0.9659210680407543
kappa
0.9547205041428404
kappa
0.9439889132694306
kappa
0.9659210680407543
kappa
0.9544065804935369
kb_relative_information_score
0.9472436000907792
kb_relative_information_score
0.9442953793454174
kb_relative_information_score
0.9623715423160999
kb_relative_information_score
0.9146182871969899
kb_relative_information_score
0.9646494135302552
kb_relative_information_score
0.9538779912363208
kb_relative_information_score
0.9380855970303444
kb_relative_information_score
0.9333769003371658
kb_relative_information_score
0.9606251122373491
kb_relative_information_score
0.9339192900234685
mean_absolute_error
0.02699252647436996
mean_absolute_error
0.026459245781280123
mean_absolute_error
0.018059500845791613
mean_absolute_error
0.0373620049943517
mean_absolute_error
0.01719787426260406
mean_absolute_error
0.021455611044156993
mean_absolute_error
0.02997485288314995
mean_absolute_error
0.03011864112119015
mean_absolute_error
0.018825656245414792
mean_absolute_error
0.03144617611639983
mean_prior_absolute_error
0.4536732781714767
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.4526452345453676
mean_prior_absolute_error
0.45422372672718864
mean_prior_absolute_error
0.45422372672718864
number_of_instances
195 [127,68]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [127,67]
number_of_instances
194 [126,68]
number_of_instances
194 [126,68]
precision
0.99003663003663 [1,0.971429]
precision
0.979381443298969 [0.984252,0.970149]
precision
0.9896907216494846 [0.992126,0.985075]
precision
0.9638443064667293 [0.96875,0.954545]
precision
0.9896907216494846 [0.992126,0.985075]
precision
0.984646779674069 [0.992063,0.970588]
precision
0.9797471985656655 [0.992,0.956522]
precision
0.9760166093928981 [1,0.930556]
precision
0.984540322981246 [0.984252,0.985075]
precision
0.9794668658231802 [0.976562,0.984848]
predictive_accuracy
0.9897435897435898
predictive_accuracy
0.979381443298969
predictive_accuracy
0.9896907216494846
predictive_accuracy
0.9639175257731959
predictive_accuracy
0.9896907216494846
predictive_accuracy
0.9845360824742267
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9845360824742267
predictive_accuracy
0.979381443298969
prior_entropy
0.932928534004902
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9298639109616103
prior_entropy
0.9345694345320188
prior_entropy
0.9345694345320188
relative_absolute_error
0.059497721759507044
relative_absolute_error
0.05845470969744226
relative_absolute_error
0.03989769353018904
relative_absolute_error
0.0825414743002381
relative_absolute_error
0.037994157344608814
relative_absolute_error
0.04740050133457562
relative_absolute_error
0.06622151432402994
relative_absolute_error
0.06653917642906594
relative_absolute_error
0.0414457791121107
relative_absolute_error
0.06923058895002795
root_mean_prior_squared_error
0.4765680392655914
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.47548822532565527
root_mean_prior_squared_error
0.4771452028525092
root_mean_prior_squared_error
0.4771452028525092
root_mean_squared_error
0.09994751831248744
root_mean_squared_error
0.11806981049381013
root_mean_squared_error
0.09570267921857742
root_mean_squared_error
0.17051900300437842
root_mean_squared_error
0.09106045726710107
root_mean_squared_error
0.10759258106385178
root_mean_squared_error
0.11153988319907197
root_mean_squared_error
0.134214942257162
root_mean_squared_error
0.10549413215561361
root_mean_squared_error
0.1378727949040598
root_relative_squared_error
0.20972350237021808
root_relative_squared_error
0.24831279557542307
root_relative_squared_error
0.20127244823577278
root_relative_squared_error
0.3586187710275945
root_relative_squared_error
0.19150938428545738
root_relative_squared_error
0.22627811864355443
root_relative_squared_error
0.2345796956857972
root_relative_squared_error
0.28226764640752156
root_relative_squared_error
0.22109439961869004
root_relative_squared_error
0.28895353883852787
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
unweighted_recall
0.9921259842519685 [0.984252,1]
unweighted_recall
0.9772006111176401 [0.984252,0.970149]
unweighted_recall
0.9886003055588201 [0.992126,0.985075]
unweighted_recall
0.9583382301092961 [0.976378,0.940299]
unweighted_recall
0.9886003055588201 [0.992126,0.985075]
unweighted_recall
0.9846632976848043 [0.984252,0.985075]
unweighted_recall
0.9807262898107886 [0.976378,0.985075]
unweighted_recall
0.9803149606299213 [0.96063,1]
unweighted_recall
0.9813258636788049 [0.992063,0.970588]
unweighted_recall
0.9739729225023344 [0.992063,0.955882]
usercpu_time_millis
498.37866999769176
usercpu_time_millis
549.094887001047
usercpu_time_millis
746.3497890003055
usercpu_time_millis
939.5285910013627
usercpu_time_millis
826.93862600172
usercpu_time_millis
740.0401710001461
usercpu_time_millis
473.1092729998636
usercpu_time_millis
753.4680850003497
usercpu_time_millis
777.7363180011889
usercpu_time_millis
567.7713419991051
usercpu_time_millis_testing
6.900459999087616
usercpu_time_millis_testing
6.346587000734871
usercpu_time_millis_testing
6.393404000846203
usercpu_time_millis_testing
7.309237000299618
usercpu_time_millis_testing
6.43972200123244
usercpu_time_millis_testing
6.5542920001462335
usercpu_time_millis_testing
6.751589000487002
usercpu_time_millis_testing
6.232685000213678
usercpu_time_millis_testing
6.473120000009658
usercpu_time_millis_testing
4.450395999811008
usercpu_time_millis_training
491.47820999860414
usercpu_time_millis_training
542.7483000003122
usercpu_time_millis_training
739.9563849994593
usercpu_time_millis_training
932.219354001063
usercpu_time_millis_training
820.4989040004875
usercpu_time_millis_training
733.4858789999998
usercpu_time_millis_training
466.3576839993766
usercpu_time_millis_training
747.235400000136
usercpu_time_millis_training
771.2631980011793
usercpu_time_millis_training
563.320945999294
wall_clock_time_millis
503.03077697753906
wall_clock_time_millis
576.9321918487549
wall_clock_time_millis
762.610673904419
wall_clock_time_millis
957.5746059417725
wall_clock_time_millis
850.4617214202881
wall_clock_time_millis
747.8001117706299
wall_clock_time_millis
513.9031410217285
wall_clock_time_millis
783.1017971038818
wall_clock_time_millis
790.2529239654541
wall_clock_time_millis
574.3732452392578
wall_clock_time_millis_testing
6.894826889038086
wall_clock_time_millis_testing
6.352424621582031
wall_clock_time_millis_testing
6.3991546630859375
wall_clock_time_millis_testing
8.582592010498047
wall_clock_time_millis_testing
6.445169448852539
wall_clock_time_millis_testing
6.5593719482421875
wall_clock_time_millis_testing
6.757020950317383
wall_clock_time_millis_testing
6.247043609619141
wall_clock_time_millis_testing
6.478309631347656
wall_clock_time_millis_testing
4.455327987670898
wall_clock_time_millis_training
496.135950088501
wall_clock_time_millis_training
570.5797672271729
wall_clock_time_millis_training
756.211519241333
wall_clock_time_millis_training
948.9920139312744
wall_clock_time_millis_training
844.0165519714355
wall_clock_time_millis_training
741.2407398223877
wall_clock_time_millis_training
507.14612007141113
wall_clock_time_millis_training
776.8547534942627
wall_clock_time_millis_training
783.7746143341064
wall_clock_time_millis_training
569.9179172515869
weighted_recall
0.9897435897435898 [0.984252,1]
weighted_recall
0.979381443298969 [0.984252,0.970149]
weighted_recall
0.9896907216494846 [0.992126,0.985075]
weighted_recall
0.9639175257731959 [0.976378,0.940299]
weighted_recall
0.9896907216494846 [0.992126,0.985075]
weighted_recall
0.9845360824742269 [0.984252,0.985075]
weighted_recall
0.979381443298969 [0.976378,0.985075]
weighted_recall
0.9742268041237113 [0.96063,1]
weighted_recall
0.9845360824742269 [0.992063,0.970588]
weighted_recall
0.979381443298969 [0.992063,0.955882]