10582826
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)
8299108
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
"mean"
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
0.0921943570977671
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
18
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
129
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
18
19040
random_state
60500
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2572469697356155
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
22091920
description
https://api.openml.org/data/download/22091920/description.xml
-1
22091921
predictions
https://api.openml.org/data/download/22091921/predictions.arff
area_under_roc_curve
0.9696917142040208 [0.969692,0.969692]
average_cost
0
f_measure
0.910297283713315 [0.93014,0.872912]
kappa
0.8031067029219678
kb_relative_information_score
0.6530228995092048
mean_absolute_error
0.1691311487323016
mean_prior_absolute_error
0.45306405137877787
weighted_recall
0.9098402885110768 [0.91877,0.893016]
number_of_instances
1941 [1268,673]
precision
0.9112473704087969 [0.941795,0.853693]
predictive_accuracy
0.9098402885110768
prior_entropy
0.9311124141243181
relative_absolute_error
0.3733051611965167
root_mean_prior_squared_error
0.47592842871248736
root_mean_squared_error
0.2617190466318963
root_relative_squared_error
0.5499126146759414
total_cost
0
unweighted_recall
0.9058930304067198 [0.91877,0.893016]
area_under_roc_curve
0.9571560907827698 [0.957156,0.957156]
area_under_roc_curve
0.9661534845457751 [0.966153,0.966153]
area_under_roc_curve
0.9817839934187331 [0.981784,0.981784]
area_under_roc_curve
0.9682688917616641 [0.968269,0.968269]
area_under_roc_curve
0.975085203901751 [0.975085,0.975085]
area_under_roc_curve
0.9505229756728172 [0.950523,0.950523]
area_under_roc_curve
0.9816664707956282 [0.981666,0.981666]
area_under_roc_curve
0.9754377717710659 [0.975438,0.975438]
area_under_roc_curve
0.9661531279178338 [0.966153,0.966153]
area_under_roc_curve
0.9673202614379084 [0.96732,0.96732]
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
0.8974358974358975 [0.92126,0.852941]
f_measure
0.898134933142565 [0.918699,0.859155]
f_measure
0.9381443298969072 [0.952756,0.910448]
f_measure
0.8965289167447672 [0.921875,0.848485]
f_measure
0.9078189152846259 [0.928,0.869565]
f_measure
0.8767073839845216 [0.904762,0.823529]
f_measure
0.9286944531997956 [0.943089,0.901408]
f_measure
0.9286944531997956 [0.943089,0.901408]
f_measure
0.9175257731958762 [0.936508,0.882353]
f_measure
0.9127888845301848 [0.931727,0.877698]
kappa
0.7742010189902733
kappa
0.778260372614013
kappa
0.8632036667058409
kappa
0.770387028050657
kappa
0.7976590566693708
kappa
0.7283230248570428
kappa
0.8447822608298092
kappa
0.8447822608298092
kappa
0.818860877684407
kappa
0.80947429231658
kb_relative_information_score
0.6072494280248832
kb_relative_information_score
0.6145466782049699
kb_relative_information_score
0.7045412421906083
kb_relative_information_score
0.6669775031923539
kb_relative_information_score
0.6954934663483339
kb_relative_information_score
0.5572858752571581
kb_relative_information_score
0.7238252683600179
kb_relative_information_score
0.6805844938424223
kb_relative_information_score
0.6360440193702313
kb_relative_information_score
0.6441991753729299
mean_absolute_error
0.19127562041642412
mean_absolute_error
0.1868574768834452
mean_absolute_error
0.14596148775207335
mean_absolute_error
0.16007912442370456
mean_absolute_error
0.14790442195673364
mean_absolute_error
0.2137758535399228
mean_absolute_error
0.13547127418094795
mean_absolute_error
0.15600874512561466
mean_absolute_error
0.18106882239230332
mean_absolute_error
0.17279451389059147
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
0.8974358974358975 [0.92126,0.852941]
precision
0.9025256288082244 [0.94958,0.813333]
precision
0.9381443298969072 [0.952756,0.910448]
precision
0.8963588637048239 [0.914729,0.861538]
precision
0.9092375053269918 [0.943089,0.84507]
precision
0.8773237711041386 [0.912,0.811594]
precision
0.9328435704178579 [0.97479,0.853333]
precision
0.9328435704178579 [0.97479,0.853333]
precision
0.9175257731958762 [0.936508,0.882353]
precision
0.9136690902265491 [0.943089,0.859155]
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.8969072164948453
predictive_accuracy
0.9381443298969071
predictive_accuracy
0.8969072164948453
predictive_accuracy
0.9072164948453608
predictive_accuracy
0.8762886597938144
predictive_accuracy
0.9278350515463917
predictive_accuracy
0.9278350515463917
predictive_accuracy
0.9175257731958762
predictive_accuracy
0.9123711340206185
prior_entropy
0.932928534004902
prior_entropy
0.9298639109616103
prior_entropy
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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
0.4216153554103024
relative_absolute_error
0.4128122039573066
relative_absolute_error
0.3224633258288373
relative_absolute_error
0.35365251240187356
relative_absolute_error
0.3267557253867643
relative_absolute_error
0.47228124196344884
relative_absolute_error
0.2992879717755429
relative_absolute_error
0.34466008524823705
relative_absolute_error
0.39863356257709337
relative_absolute_error
0.38041719030316884
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
0.2824742714724903
root_mean_squared_error
0.2743843854594765
root_mean_squared_error
0.23426100965573746
root_mean_squared_error
0.2619888829457481
root_mean_squared_error
0.24516577233219378
root_mean_squared_error
0.29982757125277826
root_mean_squared_error
0.23043861178183064
root_mean_squared_error
0.24653195961127525
root_mean_squared_error
0.2664567179383189
root_mean_squared_error
0.26727046317911074
root_relative_squared_error
0.5927260080382087
root_relative_squared_error
0.5770582126856127
root_relative_squared_error
0.49267468084050947
root_relative_squared_error
0.5509892127535136
root_relative_squared_error
0.5156085035844644
root_relative_squared_error
0.6305678148968474
root_relative_squared_error
0.4846357901376137
root_relative_squared_error
0.5184817341006267
root_relative_squared_error
0.558439477847341
root_relative_squared_error
0.5601449235605686
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
0.8871005094951366 [0.92126,0.852941]
unweighted_recall
0.9001057703607944 [0.889764,0.910448]
unweighted_recall
0.9316018333529203 [0.952756,0.910448]
unweighted_recall
0.8824773768950522 [0.929134,0.835821]
unweighted_recall
0.9044541074156776 [0.913386,0.895522]
unweighted_recall
0.8667293453989893 [0.897638,0.835821]
unweighted_recall
0.9343048536843342 [0.913386,0.955224]
unweighted_recall
0.9343048536843342 [0.913386,0.955224]
unweighted_recall
0.9094304388422035 [0.936508,0.882353]
unweighted_recall
0.9088468720821662 [0.920635,0.897059]
usercpu_time_millis
979.8310259993741
usercpu_time_millis
986.6312030007975
usercpu_time_millis
977.5577429991245
usercpu_time_millis
969.8716090024391
usercpu_time_millis
982.52550899997
usercpu_time_millis
983.4874219995982
usercpu_time_millis
974.8435520014027
usercpu_time_millis
986.3619360003213
usercpu_time_millis
985.2824080007849
usercpu_time_millis
982.8761350017885
usercpu_time_millis_testing
6.899490999785485
usercpu_time_millis_testing
7.673891999729676
usercpu_time_millis_testing
7.0267039991449565
usercpu_time_millis_testing
7.3892560012609465
usercpu_time_millis_testing
6.894112999361823
usercpu_time_millis_testing
7.868667998991441
usercpu_time_millis_testing
7.005483001194079
usercpu_time_millis_testing
8.02489899979264
usercpu_time_millis_testing
6.9869609997113
usercpu_time_millis_testing
7.417119000820094
usercpu_time_millis_training
972.9315349995886
usercpu_time_millis_training
978.9573110010679
usercpu_time_millis_training
970.5310389999795
usercpu_time_millis_training
962.4823530011781
usercpu_time_millis_training
975.6313960006082
usercpu_time_millis_training
975.6187540006067
usercpu_time_millis_training
967.8380690002086
usercpu_time_millis_training
978.3370370005287
usercpu_time_millis_training
978.2954470010736
usercpu_time_millis_training
975.4590160009684
wall_clock_time_millis
993.9379692077637
wall_clock_time_millis
1016.9887542724609
wall_clock_time_millis
1009.6471309661865
wall_clock_time_millis
982.2573661804199
wall_clock_time_millis
990.9741878509521
wall_clock_time_millis
1010.6105804443359
wall_clock_time_millis
993.2198524475098
wall_clock_time_millis
1000.868558883667
wall_clock_time_millis
1005.2249431610107
wall_clock_time_millis
994.8854446411133
wall_clock_time_millis_testing
6.906270980834961
wall_clock_time_millis_testing
7.680416107177734
wall_clock_time_millis_testing
7.187366485595703
wall_clock_time_millis_testing
9.335517883300781
wall_clock_time_millis_testing
6.901025772094727
wall_clock_time_millis_testing
8.369922637939453
wall_clock_time_millis_testing
7.012367248535156
wall_clock_time_millis_testing
8.21065902709961
wall_clock_time_millis_testing
6.994962692260742
wall_clock_time_millis_testing
7.423877716064453
wall_clock_time_millis_training
987.0316982269287
wall_clock_time_millis_training
1009.3083381652832
wall_clock_time_millis_training
1002.4597644805908
wall_clock_time_millis_training
972.9218482971191
wall_clock_time_millis_training
984.0731620788574
wall_clock_time_millis_training
1002.2406578063965
wall_clock_time_millis_training
986.2074851989746
wall_clock_time_millis_training
992.6578998565674
wall_clock_time_millis_training
998.22998046875
wall_clock_time_millis_training
987.4615669250488
weighted_recall
0.8974358974358975 [0.92126,0.852941]
weighted_recall
0.8969072164948454 [0.889764,0.910448]
weighted_recall
0.9381443298969072 [0.952756,0.910448]
weighted_recall
0.8969072164948454 [0.929134,0.835821]
weighted_recall
0.9072164948453608 [0.913386,0.895522]
weighted_recall
0.8762886597938144 [0.897638,0.835821]
weighted_recall
0.9278350515463918 [0.913386,0.955224]
weighted_recall
0.9278350515463918 [0.913386,0.955224]
weighted_recall
0.9175257731958762 [0.936508,0.882353]
weighted_recall
0.9123711340206185 [0.920635,0.897059]