10585081
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)
8301363
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
0.7687561352108756
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
918
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
196
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
4
19040
random_state
35877
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3612945346703889
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
22096430
description
https://api.openml.org/data/download/22096430/description.xml
-1
22096431
predictions
https://api.openml.org/data/download/22096431/predictions.arff
area_under_roc_curve
0.9489584749298072 [0.948958,0.948958]
average_cost
0
f_measure
0.8857280792873083 [0.910907,0.838289]
kappa
0.7492746311175575
kb_relative_information_score
0.6274832000825122
mean_absolute_error
0.17718533225758964
mean_prior_absolute_error
0.45306405137877787
weighted_recall
0.8851107676455435 [0.899054,0.858841]
number_of_instances
1941 [1268,673]
precision
0.8868853896416279 [0.923077,0.818697]
predictive_accuracy
0.8851107676455436
prior_entropy
0.9311124141243181
relative_absolute_error
0.3910823022007021
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.2902422994129979
root_relative_squared_error
0.6098444259742589
total_cost
0
unweighted_recall
0.8789473190807204 [0.899054,0.858841]
area_under_roc_curve
0.9610930986567855 [0.961093,0.961093]
area_under_roc_curve
0.9641555999529909 [0.964156,0.964156]
area_under_roc_curve
0.9474673874720884 [0.947467,0.947467]
area_under_roc_curve
0.941708778939946 [0.941709,0.941709]
area_under_roc_curve
0.9318368785991304 [0.931837,0.931837]
area_under_roc_curve
0.9118580326712892 [0.911858,0.911858]
area_under_roc_curve
0.9482900458338229 [0.94829,0.94829]
area_under_roc_curve
0.9578093783053236 [0.957809,0.957809]
area_under_roc_curve
0.9669701213818861 [0.96697,0.96697]
area_under_roc_curve
0.9610177404295052 [0.961018,0.961018]
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
0.9079949036470776 [0.928571,0.869565]
f_measure
0.918507946514052 [0.934959,0.887324]
f_measure
0.8812300612051659 [0.909804,0.827068]
f_measure
0.8748166137985726 [0.907692,0.8125]
f_measure
0.866849544300015 [0.896,0.811594]
f_measure
0.8064563729708737 [0.845528,0.732394]
f_measure
0.8919395659870784 [0.916996,0.844444]
f_measure
0.8777619197710781 [0.902439,0.830986]
f_measure
0.9075177050649932 [0.928,0.869565]
f_measure
0.9234682842930266 [0.938776,0.895105]
kappa
0.7981598619896492
kappa
0.8226082980912103
kappa
0.7368793489798324
kappa
0.7204946572217553
kappa
0.7077297485224244
kappa
0.5786947079666248
kappa
0.7614474762852794
kappa
0.7339124471368156
kappa
0.7975886853698122
kappa
0.8341124159160872
kb_relative_information_score
0.6612381497295325
kb_relative_information_score
0.6812319449284675
kb_relative_information_score
0.5918161433774363
kb_relative_information_score
0.6005883002515251
kb_relative_information_score
0.6181109765208938
kb_relative_information_score
0.48156379470080024
kb_relative_information_score
0.608535086712786
kb_relative_information_score
0.6597344711690576
kb_relative_information_score
0.6903332144916224
kb_relative_information_score
0.6808062151364426
mean_absolute_error
0.16368054416168806
mean_absolute_error
0.15320935020547696
mean_absolute_error
0.19107036291925839
mean_absolute_error
0.18977117501608642
mean_absolute_error
0.17653936605396778
mean_absolute_error
0.24172863144331536
mean_absolute_error
0.18798193857215603
mean_absolute_error
0.16100676784027407
mean_absolute_error
0.1509438151850531
mean_absolute_error
0.15599098348839233
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
0.908501098901099 [0.936,0.857143]
precision
0.9227375898813134 [0.966387,0.84]
precision
0.881067439862543 [0.90625,0.833333]
precision
0.8752136382870307 [0.887218,0.852459]
precision
0.8684914785840178 [0.910569,0.788732]
precision
0.8115718039793238 [0.87395,0.693333]
precision
0.8921773176624601 [0.920635,0.838235]
precision
0.8823136677351352 [0.932773,0.786667]
precision
0.9080241341631431 [0.935484,0.857143]
precision
0.9267596523145342 [0.966387,0.853333]
predictive_accuracy
0.9076923076923077
predictive_accuracy
0.9175257731958762
predictive_accuracy
0.8814432989690723
predictive_accuracy
0.8762886597938144
predictive_accuracy
0.865979381443299
predictive_accuracy
0.8041237113402062
predictive_accuracy
0.8917525773195877
predictive_accuracy
0.8762886597938144
predictive_accuracy
0.9072164948453608
predictive_accuracy
0.9226804123711341
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
0.360789475680384
relative_absolute_error
0.3384755621239643
relative_absolute_error
0.4221194620797622
relative_absolute_error
0.4192492498163396
relative_absolute_error
0.3900170654205211
relative_absolute_error
0.5340355161059085
relative_absolute_error
0.4152964048344909
relative_absolute_error
0.3557018953308714
relative_absolute_error
0.3323116039592346
relative_absolute_error
0.34342323905523786
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
0.26956658212801254
root_mean_squared_error
0.2675686845288672
root_mean_squared_error
0.2994688900352913
root_mean_squared_error
0.30604689728808715
root_mean_squared_error
0.315484434717071
root_mean_squared_error
0.3392190872291076
root_mean_squared_error
0.29302471675091896
root_mean_squared_error
0.27884153921547455
root_mean_squared_error
0.2598695146604531
root_mean_squared_error
0.26289133166048395
root_relative_squared_error
0.5656413353766325
root_relative_squared_error
0.5627241018336744
root_relative_squared_error
0.6298134718902645
root_relative_squared_error
0.6436476888118099
root_relative_squared_error
0.6634957879367046
root_relative_squared_error
0.7134121712410042
root_relative_squared_error
0.6162607213884853
root_relative_squared_error
0.5864320594363821
root_relative_squared_error
0.5446340298652895
root_relative_squared_error
0.5509671481319419
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
0.9018063918480779 [0.92126,0.882353]
unweighted_recall
0.9229051592431543 [0.905512,0.940299]
unweighted_recall
0.8671406745798567 [0.913386,0.820896]
unweighted_recall
0.8526266306263957 [0.929134,0.776119]
unweighted_recall
0.8588553296509578 [0.88189,0.835821]
unweighted_recall
0.7975085203901751 [0.818898,0.776119]
unweighted_recall
0.8820660477141851 [0.913386,0.850746]
unweighted_recall
0.8773063814784345 [0.874016,0.880597]
unweighted_recall
0.9014939309056955 [0.920635,0.882353]
unweighted_recall
0.926937441643324 [0.912698,0.941176]
usercpu_time_millis
185.83098499948392
usercpu_time_millis
250.51351399997657
usercpu_time_millis
147.19421099835017
usercpu_time_millis
159.26486200078216
usercpu_time_millis
258.9819200002239
usercpu_time_millis
114.83462300202518
usercpu_time_millis
142.97120999981416
usercpu_time_millis
275.7855949985242
usercpu_time_millis
216.86158199918282
usercpu_time_millis
143.84566799890308
usercpu_time_millis_testing
6.710686000587884
usercpu_time_millis_testing
7.315656999708153
usercpu_time_millis_testing
6.2461099987558555
usercpu_time_millis_testing
6.289148999712779
usercpu_time_millis_testing
6.7678920004254906
usercpu_time_millis_testing
6.560928000908461
usercpu_time_millis_testing
6.367637000948889
usercpu_time_millis_testing
6.73732199902588
usercpu_time_millis_testing
7.158319000154734
usercpu_time_millis_testing
4.286733999833814
usercpu_time_millis_training
179.12029899889603
usercpu_time_millis_training
243.1978570002684
usercpu_time_millis_training
140.94810099959432
usercpu_time_millis_training
152.97571300106938
usercpu_time_millis_training
252.21402799979842
usercpu_time_millis_training
108.27369500111672
usercpu_time_millis_training
136.60357299886527
usercpu_time_millis_training
269.0482729994983
usercpu_time_millis_training
209.70326299902808
usercpu_time_millis_training
139.55893399906927
wall_clock_time_millis
201.26819610595703
wall_clock_time_millis
276.1051654815674
wall_clock_time_millis
152.82583236694336
wall_clock_time_millis
166.8257713317871
wall_clock_time_millis
265.58947563171387
wall_clock_time_millis
117.42091178894043
wall_clock_time_millis
145.3683376312256
wall_clock_time_millis
278.4426212310791
wall_clock_time_millis
221.6486930847168
wall_clock_time_millis
154.1769504547119
wall_clock_time_millis_testing
6.721258163452148
wall_clock_time_millis_testing
19.13285255432129
wall_clock_time_millis_testing
6.251811981201172
wall_clock_time_millis_testing
6.295204162597656
wall_clock_time_millis_testing
6.773471832275391
wall_clock_time_millis_testing
6.568431854248047
wall_clock_time_millis_testing
6.374597549438477
wall_clock_time_millis_testing
6.744146347045898
wall_clock_time_millis_testing
7.1811676025390625
wall_clock_time_millis_testing
4.3125152587890625
wall_clock_time_millis_training
194.54693794250488
wall_clock_time_millis_training
256.9723129272461
wall_clock_time_millis_training
146.5740203857422
wall_clock_time_millis_training
160.53056716918945
wall_clock_time_millis_training
258.8160037994385
wall_clock_time_millis_training
110.85247993469238
wall_clock_time_millis_training
138.9937400817871
wall_clock_time_millis_training
271.6984748840332
wall_clock_time_millis_training
214.46752548217773
wall_clock_time_millis_training
149.86443519592285
weighted_recall
0.9076923076923077 [0.92126,0.882353]
weighted_recall
0.9175257731958762 [0.905512,0.940299]
weighted_recall
0.8814432989690721 [0.913386,0.820896]
weighted_recall
0.8762886597938144 [0.929134,0.776119]
weighted_recall
0.865979381443299 [0.88189,0.835821]
weighted_recall
0.8041237113402062 [0.818898,0.776119]
weighted_recall
0.8917525773195877 [0.913386,0.850746]
weighted_recall
0.8762886597938144 [0.874016,0.880597]
weighted_recall
0.9072164948453608 [0.920635,0.882353]
weighted_recall
0.9226804123711341 [0.912698,0.941176]