10586593
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)
8302875
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
0.5959639090637575
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
87
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
95
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
19
19040
random_state
4549
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.25280516592862795
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
22099457
description
https://api.openml.org/data/download/22099457/description.xml
-1
22099458
predictions
https://api.openml.org/data/download/22099458/predictions.arff
area_under_roc_curve
0.9935785776904489 [0.993579,0.993579]
average_cost
0
f_measure
0.9662167612728197 [0.940703,0.976418]
kappa
0.9171209452727612
kb_relative_information_score
0.8846474774024752
mean_absolute_error
0.047553698311118456
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9662556216451472 [0.937119,0.977905]
number_of_instances
34465 [9844,24621]
precision
0.9661889854193184 [0.944314,0.974935]
predictive_accuracy
0.9662556216451472
prior_entropy
0.8629999933345911
relative_absolute_error
0.1165273577663
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.1597393412291266
root_relative_squared_error
0.35363197386343465
total_cost
0
unweighted_recall
0.9575120488532194 [0.937119,0.977905]
area_under_roc_curve
0.994190853906103 [0.994191,0.994191]
area_under_roc_curve
0.9942143938113127 [0.994214,0.994214]
area_under_roc_curve
0.991692610934942 [0.991693,0.991693]
area_under_roc_curve
0.9943209886724919 [0.994321,0.994321]
area_under_roc_curve
0.9939552260347125 [0.993955,0.993955]
area_under_roc_curve
0.9932892568669797 [0.993289,0.993289]
area_under_roc_curve
0.9931928731350678 [0.993193,0.993193]
area_under_roc_curve
0.9952468579316175 [0.995247,0.995247]
area_under_roc_curve
0.991780552198292 [0.991781,0.991781]
area_under_roc_curve
0.9938871662274705 [0.993887,0.993887]
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
0.9697729470685449 [0.94683,0.978939]
f_measure
0.9659893924885034 [0.940215,0.976301]
f_measure
0.9594096122432625 [0.929078,0.971545]
f_measure
0.9707125036825757 [0.948809,0.979476]
f_measure
0.9657568886502482 [0.940041,0.976045]
f_measure
0.9632753747413503 [0.935052,0.974556]
f_measure
0.9643118809478544 [0.937532,0.975015]
f_measure
0.9724275961174218 [0.951703,0.980711]
f_measure
0.9639719984029356 [0.936735,0.974858]
f_measure
0.9665294474042542 [0.940995,0.976735]
kappa
0.9257702141616537
kappa
0.9165174720690947
kappa
0.9006228933486653
kappa
0.9282847032209437
kappa
0.9160861580306593
kappa
0.9096146576316575
kappa
0.9125469856359819
kappa
0.9324137680444318
kappa
0.9115933489359026
kappa
0.9177332413837771
kb_relative_information_score
0.8881235775362623
kb_relative_information_score
0.886600341715394
kb_relative_information_score
0.8703181694558308
kb_relative_information_score
0.8928289082697465
kb_relative_information_score
0.8837243757406352
kb_relative_information_score
0.8816923326408839
kb_relative_information_score
0.8800771115852549
kb_relative_information_score
0.8968752728341195
kb_relative_information_score
0.880721289196218
kb_relative_information_score
0.8855159392898594
mean_absolute_error
0.0465841638010563
mean_absolute_error
0.04667414777196117
mean_absolute_error
0.052583223987403144
mean_absolute_error
0.044766939803925605
mean_absolute_error
0.047715691719189365
mean_absolute_error
0.048784259444619546
mean_absolute_error
0.04856635073332697
mean_absolute_error
0.043184211397578276
mean_absolute_error
0.049111221301767136
mean_absolute_error
0.04756661189802791
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
0.9697456660535665 [0.952675,0.976566]
precision
0.9659547261068713 [0.946502,0.973737]
precision
0.9594373496266826 [0.927199,0.972335]
precision
0.9707276223783887 [0.947368,0.980073]
precision
0.9657472280809218 [0.940997,0.975649]
precision
0.9632706665729251 [0.948745,0.969076]
precision
0.9643175152322554 [0.937056,0.975213]
precision
0.9724235854935697 [0.952187,0.980512]
precision
0.9639403236639932 [0.940574,0.973279]
precision
0.9665026180604827 [0.950259,0.972995]
predictive_accuracy
0.9698288366695678
predictive_accuracy
0.9660574412532636
predictive_accuracy
0.9593849724398028
predictive_accuracy
0.9706991586887148
predictive_accuracy
0.9657673339135481
predictive_accuracy
0.963435867672664
predictive_accuracy
0.9643064422518863
predictive_accuracy
0.9724318049912942
predictive_accuracy
0.9640162507254789
predictive_accuracy
0.9666279744631457
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
0.11417046229082212
relative_absolute_error
0.11435613973544836
relative_absolute_error
0.1288339433517457
relative_absolute_error
0.10968329724536531
relative_absolute_error
0.11690802232689418
relative_absolute_error
0.11955214460317666
relative_absolute_error
0.11901813109022552
relative_absolute_error
0.1058285017411868
relative_absolute_error
0.12035340697080174
relative_absolute_error
0.11656814162305391
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
0.15633929465750868
root_mean_squared_error
0.1591246613844505
root_mean_squared_error
0.17148565832289622
root_mean_squared_error
0.15096243341098411
root_mean_squared_error
0.1624742963068044
root_mean_squared_error
0.16147686300902128
root_mean_squared_error
0.1637852295365623
root_mean_squared_error
0.14741896215049105
root_mean_squared_error
0.16351910503587735
root_mean_squared_error
0.15949170099403095
root_relative_squared_error
0.346162202772951
root_relative_squared_error
0.35222211533090614
root_relative_squared_error
0.379583156990811
root_relative_squared_error
0.3341550402614954
root_relative_squared_error
0.359636525439766
root_relative_squared_error
0.35750654365808116
root_relative_squared_error
0.36261722096118865
root_relative_squared_error
0.32638263244647725
root_relative_squared_error
0.36202802664164524
root_relative_squared_error
0.35311143467865513
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
0.9611902498440332 [0.941057,0.981324]
unweighted_recall
0.9564445562396138 [0.93401,0.978879]
unweighted_recall
0.9508599751759743 [0.930964,0.970755]
unweighted_recall
0.9645663836507812 [0.950254,0.978879]
unweighted_recall
0.9577641057783899 [0.939086,0.976442]
unweighted_recall
0.950922724600926 [0.921748,0.980097]
unweighted_recall
0.9564126759261093 [0.938008,0.974817]
unweighted_recall
0.9660646708010541 [0.95122,0.98091]
unweighted_recall
0.9546843732044145 [0.932927,0.976442]
unweighted_recall
0.9562071123351363 [0.931911,0.980504]
usercpu_time_millis
33632.64192900169
usercpu_time_millis
34067.13551100256
usercpu_time_millis
33663.378704000934
usercpu_time_millis
33913.11337500156
usercpu_time_millis
33162.95500200067
usercpu_time_millis
33470.81377699942
usercpu_time_millis
33349.15515600369
usercpu_time_millis
33581.11304099657
usercpu_time_millis
34264.28594299796
usercpu_time_millis
33894.48808799716
usercpu_time_millis_testing
79.45631999973557
usercpu_time_millis_testing
80.16151000265381
usercpu_time_millis_testing
76.85643500008155
usercpu_time_millis_testing
78.37458500216599
usercpu_time_millis_testing
77.83558899973286
usercpu_time_millis_testing
76.70246599809616
usercpu_time_millis_testing
79.40890400277567
usercpu_time_millis_testing
76.68493299934198
usercpu_time_millis_testing
78.34084500063909
usercpu_time_millis_testing
46.181002999219345
usercpu_time_millis_training
33553.18560900196
usercpu_time_millis_training
33986.97400099991
usercpu_time_millis_training
33586.52226900085
usercpu_time_millis_training
33834.73878999939
usercpu_time_millis_training
33085.11941300094
usercpu_time_millis_training
33394.111311001325
usercpu_time_millis_training
33269.746252000914
usercpu_time_millis_training
33504.42810799723
usercpu_time_millis_training
34185.94509799732
usercpu_time_millis_training
33848.30708499794
wall_clock_time_millis
34155.90262413025
wall_clock_time_millis
34741.058111190796
wall_clock_time_millis
34171.271562576294
wall_clock_time_millis
34555.27591705322
wall_clock_time_millis
33752.95400619507
wall_clock_time_millis
34020.42746543884
wall_clock_time_millis
33878.11350822449
wall_clock_time_millis
34212.66555786133
wall_clock_time_millis
34890.45238494873
wall_clock_time_millis
34449.23424720764
wall_clock_time_millis_testing
80.67941665649414
wall_clock_time_millis_testing
80.31034469604492
wall_clock_time_millis_testing
78.42350006103516
wall_clock_time_millis_testing
81.66813850402832
wall_clock_time_millis_testing
77.86226272583008
wall_clock_time_millis_testing
76.87687873840332
wall_clock_time_millis_testing
79.70213890075684
wall_clock_time_millis_testing
77.01539993286133
wall_clock_time_millis_testing
78.50933074951172
wall_clock_time_millis_testing
46.213388442993164
wall_clock_time_millis_training
34075.223207473755
wall_clock_time_millis_training
34660.74776649475
wall_clock_time_millis_training
34092.84806251526
wall_clock_time_millis_training
34473.607778549194
wall_clock_time_millis_training
33675.09174346924
wall_clock_time_millis_training
33943.55058670044
wall_clock_time_millis_training
33798.41136932373
wall_clock_time_millis_training
34135.65015792847
wall_clock_time_millis_training
34811.94305419922
wall_clock_time_millis_training
34403.02085876465
weighted_recall
0.9698288366695678 [0.941057,0.981324]
weighted_recall
0.9660574412532638 [0.93401,0.978879]
weighted_recall
0.9593849724398027 [0.930964,0.970755]
weighted_recall
0.9706991586887148 [0.950254,0.978879]
weighted_recall
0.965767333913548 [0.939086,0.976442]
weighted_recall
0.963435867672664 [0.921748,0.980097]
weighted_recall
0.9643064422518862 [0.938008,0.974817]
weighted_recall
0.9724318049912942 [0.95122,0.98091]
weighted_recall
0.9640162507254788 [0.932927,0.976442]
weighted_recall
0.9666279744631456 [0.931911,0.980504]