10586518
28997
Marc Boel
9977
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)
8302800
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
0.4005968526245245
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1716
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
12
19040
random_state
50535
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.04049278537675822
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
22099306
description
https://api.openml.org/data/download/22099306/description.xml
-1
22099307
predictions
https://api.openml.org/data/download/22099307/predictions.arff
area_under_roc_curve
0.9939376333265949 [0.993938,0.993938]
average_cost
0
f_measure
0.9659642530184908 [0.940295,0.976227]
kappa
0.9165229368229493
kb_relative_information_score
0.8777110639732955
mean_absolute_error
0.05150238140412436
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9659944871608879 [0.937525,0.977377]
number_of_instances
34465 [9844,24621]
precision
0.9659406386688801 [0.943082,0.97508]
predictive_accuracy
0.9659944871608879
prior_entropy
0.8629999933345911
relative_absolute_error
0.12620335824210013
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.15862669406056656
root_relative_squared_error
0.35116878845523225
total_cost
0
unweighted_recall
0.9574512160220541 [0.937525,0.977377]
area_under_roc_curve
0.9942632670845587 [0.994263,0.994263]
area_under_roc_curve
0.9944929424717638 [0.994493,0.994493]
area_under_roc_curve
0.992583719232847 [0.992584,0.992584]
area_under_roc_curve
0.9952500340196365 [0.99525,0.99525]
area_under_roc_curve
0.9940253271039599 [0.994025,0.994025]
area_under_roc_curve
0.9939893288555145 [0.993989,0.993989]
area_under_roc_curve
0.9931612955954906 [0.993161,0.993161]
area_under_roc_curve
0.9953409713829063 [0.995341,0.995341]
area_under_roc_curve
0.9926156026893331 [0.992616,0.992616]
area_under_roc_curve
0.9938386647777931 [0.993839,0.993839]
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
0.9671927410012798 [0.942435,0.977084]
f_measure
0.9642894973396782 [0.937405,0.975046]
f_measure
0.9626045050864871 [0.934684,0.973775]
f_measure
0.9692298190649071 [0.946083,0.97849]
f_measure
0.9683927019940668 [0.944754,0.97785]
f_measure
0.9648490783435046 [0.938297,0.975461]
f_measure
0.9643335291130476 [0.937658,0.974995]
f_measure
0.9700781410692644 [0.947476,0.979112]
f_measure
0.9659794075327891 [0.940153,0.976301]
f_measure
0.9626804566248548 [0.933953,0.974162]
kappa
0.9195190120891634
kappa
0.9124504543384913
kappa
0.9084589374218351
kappa
0.9245738024107847
kappa
0.9226042836740878
kappa
0.9137585912340974
kappa
0.9126535309068983
kappa
0.9265878917116696
kappa
0.9164563131138362
kappa
0.9081234341399362
kb_relative_information_score
0.8792759009408155
kb_relative_information_score
0.8763561804545559
kb_relative_information_score
0.8670197625107697
kb_relative_information_score
0.883249592403636
kb_relative_information_score
0.8812878199571861
kb_relative_information_score
0.8749383894948031
kb_relative_information_score
0.8732335859539478
kb_relative_information_score
0.8872264619272535
kb_relative_information_score
0.8784597651098527
kb_relative_information_score
0.8760647074262902
mean_absolute_error
0.0511543225502992
mean_absolute_error
0.051884809693167847
mean_absolute_error
0.05520165097155464
mean_absolute_error
0.049914795106607
mean_absolute_error
0.050427305471634286
mean_absolute_error
0.052555972612037094
mean_absolute_error
0.05258999531352544
mean_absolute_error
0.0475170037191658
mean_absolute_error
0.05136787191365184
mean_absolute_error
0.05240977590121594
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.9671725379633556 [0.944842,0.976094]
precision
0.9642670994467336 [0.939796,0.974058]
precision
0.9626377179321769 [0.932323,0.974766]
precision
0.9692141752917192 [0.948012,0.977697]
precision
0.968408871498335 [0.94332,0.978447]
precision
0.9648209683516631 [0.941658,0.974079]
precision
0.9643654944952386 [0.935288,0.975987]
precision
0.9700557236355178 [0.95087,0.977724]
precision
0.965944638608836 [0.946447,0.973737]
precision
0.9626843188727624 [0.948637,0.968299]
predictive_accuracy
0.9672178706121265
predictive_accuracy
0.9643167972149694
predictive_accuracy
0.9625761531766754
predictive_accuracy
0.9692486219901363
predictive_accuracy
0.9683782999709892
predictive_accuracy
0.9648868253047012
predictive_accuracy
0.9643064422518863
predictive_accuracy
0.9701102727800348
predictive_accuracy
0.9660475914103308
predictive_accuracy
0.9628554846198492
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
0.12537120294105303
relative_absolute_error
0.1271227613283476
relative_absolute_error
0.13524934066225808
relative_absolute_error
0.12229603659751151
relative_absolute_error
0.1235517361596176
relative_absolute_error
0.12879521610054548
relative_absolute_error
0.1288785931359752
relative_absolute_error
0.11644657035723288
relative_absolute_error
0.1258836214978287
relative_absolute_error
0.12843694213038426
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.15615583011418283
root_mean_squared_error
0.15961452375585639
root_mean_squared_error
0.16633273468453683
root_mean_squared_error
0.1515650616020292
root_mean_squared_error
0.15702488901131986
root_mean_squared_error
0.1617315802607286
root_mean_squared_error
0.16311516889774894
root_mean_squared_error
0.14970921520788955
root_mean_squared_error
0.15914050079657857
root_mean_squared_error
0.16113801103987108
root_relative_squared_error
0.3457559805842969
root_relative_squared_error
0.3533064246967607
root_relative_squared_error
0.3681771709654486
root_relative_squared_error
0.3354889565404757
root_relative_squared_error
0.3475742734405117
root_relative_squared_error
0.3580704825566396
root_relative_squared_error
0.3611337201143205
root_relative_squared_error
0.33145320688912755
root_relative_squared_error
0.35233388446877634
root_relative_squared_error
0.3567563321785836
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
0.9590580840339463 [0.940041,0.978076]
unweighted_recall
0.9555305620043957 [0.935025,0.976036]
unweighted_recall
0.9549210950611735 [0.937056,0.972786]
unweighted_recall
0.9617237852927957 [0.944162,0.979285]
unweighted_recall
0.9617235791131802 [0.946193,0.977254]
unweighted_recall
0.9559037202882184 [0.934959,0.976848]
unweighted_recall
0.9570227622463064 [0.940041,0.974005]
unweighted_recall
0.9623046733107461 [0.944106,0.980504]
unweighted_recall
0.956411024812929 [0.933943,0.978879]
unweighted_recall
0.9499064644383244 [0.919715,0.980097]
usercpu_time_millis
42527.16881000015
usercpu_time_millis
42364.91023299823
usercpu_time_millis
42329.504733999784
usercpu_time_millis
42644.36512999964
usercpu_time_millis
41708.41963500061
usercpu_time_millis
42068.14174899773
usercpu_time_millis
42720.270187001006
usercpu_time_millis
43099.4610839989
usercpu_time_millis
40016.39358900138
usercpu_time_millis
36384.61061400085
usercpu_time_millis_testing
80.29020899994066
usercpu_time_millis_testing
75.80044899805216
usercpu_time_millis_testing
75.18624300064403
usercpu_time_millis_testing
76.7827039999247
usercpu_time_millis_testing
76.44303100096295
usercpu_time_millis_testing
74.08570899860933
usercpu_time_millis_testing
75.90535700001055
usercpu_time_millis_testing
77.86674899762147
usercpu_time_millis_testing
42.622261000360595
usercpu_time_millis_testing
73.21815300019807
usercpu_time_millis_training
42446.87860100021
usercpu_time_millis_training
42289.109784000175
usercpu_time_millis_training
42254.31849099914
usercpu_time_millis_training
42567.58242599972
usercpu_time_millis_training
41631.97660399965
usercpu_time_millis_training
41994.05603999912
usercpu_time_millis_training
42644.364830000995
usercpu_time_millis_training
43021.59433500128
usercpu_time_millis_training
39973.77132800102
usercpu_time_millis_training
36311.39246100065
wall_clock_time_millis
43270.69902420044
wall_clock_time_millis
43188.02309036255
wall_clock_time_millis
43139.91069793701
wall_clock_time_millis
43363.13199996948
wall_clock_time_millis
42498.63338470459
wall_clock_time_millis
42880.73134422302
wall_clock_time_millis
43514.5206451416
wall_clock_time_millis
43887.58611679077
wall_clock_time_millis
40744.714975357056
wall_clock_time_millis
36993.97087097168
wall_clock_time_millis_testing
82.22055435180664
wall_clock_time_millis_testing
76.94530487060547
wall_clock_time_millis_testing
75.29997825622559
wall_clock_time_millis_testing
76.8289566040039
wall_clock_time_millis_testing
76.81155204772949
wall_clock_time_millis_testing
74.60379600524902
wall_clock_time_millis_testing
75.97780227661133
wall_clock_time_millis_testing
77.95500755310059
wall_clock_time_millis_testing
42.841434478759766
wall_clock_time_millis_testing
74.29218292236328
wall_clock_time_millis_training
43188.47846984863
wall_clock_time_millis_training
43111.07778549194
wall_clock_time_millis_training
43064.610719680786
wall_clock_time_millis_training
43286.30304336548
wall_clock_time_millis_training
42421.82183265686
wall_clock_time_millis_training
42806.12754821777
wall_clock_time_millis_training
43438.54284286499
wall_clock_time_millis_training
43809.63110923767
wall_clock_time_millis_training
40701.873540878296
wall_clock_time_millis_training
36919.67868804932
weighted_recall
0.9672178706121265 [0.940041,0.978076]
weighted_recall
0.9643167972149695 [0.935025,0.976036]
weighted_recall
0.9625761531766753 [0.937056,0.972786]
weighted_recall
0.9692486219901364 [0.944162,0.979285]
weighted_recall
0.9683782999709892 [0.946193,0.977254]
weighted_recall
0.9648868253047012 [0.934959,0.976848]
weighted_recall
0.9643064422518862 [0.940041,0.974005]
weighted_recall
0.9701102727800348 [0.944106,0.980504]
weighted_recall
0.9660475914103308 [0.933943,0.978879]
weighted_recall
0.9628554846198492 [0.919715,0.980097]