10586388
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)
8302670
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
0.12056239871854686
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
762
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
90
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
17
19040
random_state
19579
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.2650851096026793
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
22099044
description
https://api.openml.org/data/download/22099044/description.xml
-1
22099045
predictions
https://api.openml.org/data/download/22099045/predictions.arff
area_under_roc_curve
0.9913367368526693 [0.991337,0.991337]
average_cost
0
f_measure
0.9580554867603012 [0.92615,0.970812]
kappa
0.8969646321613362
kb_relative_information_score
0.8412902952901606
mean_absolute_error
0.06795240512538242
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.958160452633106 [0.918529,0.974006]
number_of_instances
34465 [9844,24621]
precision
0.9580018550209626 [0.933898,0.967639]
predictive_accuracy
0.958160452633106
prior_entropy
0.8629999933345911
relative_absolute_error
0.16651311053286943
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.17544922970599966
root_relative_squared_error
0.388410625312124
total_cost
0
unweighted_recall
0.9462674915638182 [0.918529,0.974006]
area_under_roc_curve
0.9911915867027123 [0.991192,0.991192]
area_under_roc_curve
0.991915491099226 [0.991915,0.991915]
area_under_roc_curve
0.9897056579810066 [0.989706,0.989706]
area_under_roc_curve
0.9928437117279089 [0.992844,0.992844]
area_under_roc_curve
0.9915365329660587 [0.991537,0.991537]
area_under_roc_curve
0.991823687530133 [0.991824,0.991824]
area_under_roc_curve
0.990894523587803 [0.990895,0.990895]
area_under_roc_curve
0.9928195151671256 [0.99282,0.99282]
area_under_roc_curve
0.9898832167647428 [0.989883,0.989883]
area_under_roc_curve
0.9911822300595061 [0.991182,0.991182]
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
0.9596192202382959 [0.929045,0.971834]
f_measure
0.9586506351102531 [0.92703,0.971302]
f_measure
0.9564439088059802 [0.923625,0.969574]
f_measure
0.9627743644401617 [0.934493,0.974089]
f_measure
0.9584444129639467 [0.927004,0.971023]
f_measure
0.9541583787121676 [0.918611,0.968366]
f_measure
0.959730324620868 [0.929763,0.971708]
f_measure
0.9586906535986811 [0.927254,0.971255]
f_measure
0.9590136021637922 [0.927951,0.971429]
f_measure
0.9529750398477839 [0.91645,0.967573]
kappa
0.9008801017320892
kappa
0.8983374222068619
kappa
0.8931996881815091
kappa
0.9085848402198855
kappa
0.8980281524642767
kappa
0.886994540449923
kappa
0.9014714467258285
kappa
0.8985118534053651
kappa
0.8993807773851006
kappa
0.884043825442282
kb_relative_information_score
0.8423645570865701
kb_relative_information_score
0.8451980071339601
kb_relative_information_score
0.8315549751820314
kb_relative_information_score
0.8452481505199981
kb_relative_information_score
0.8416618324677695
kb_relative_information_score
0.8365594457785639
kb_relative_information_score
0.8437691988364233
kb_relative_information_score
0.8488661311365351
kb_relative_information_score
0.8413329346109455
kb_relative_information_score
0.8363484556639276
mean_absolute_error
0.06744939787765586
mean_absolute_error
0.06636195065648157
mean_absolute_error
0.0719518958693692
mean_absolute_error
0.06702995277622688
mean_absolute_error
0.06786386008699649
mean_absolute_error
0.06971051153895248
mean_absolute_error
0.06706841462631198
mean_absolute_error
0.06472263428076683
mean_absolute_error
0.06770387044754016
mean_absolute_error
0.0696613033629277
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
0.9595791753628455 [0.933333,0.970065]
precision
0.9586097540086708 [0.938606,0.966613]
precision
0.9564108966144342 [0.926456,0.968395]
precision
0.9627328768315867 [0.942208,0.970944]
precision
0.9583977717180986 [0.932238,0.968864]
precision
0.9541768044369093 [0.937566,0.960816]
precision
0.9598206372682764 [0.924623,0.973888]
precision
0.9586386437803904 [0.934917,0.968119]
precision
0.9589678497537416 [0.933196,0.969268]
precision
0.9530022400029551 [0.936373,0.959648]
predictive_accuracy
0.9596750797795184
predictive_accuracy
0.9588047577603713
predictive_accuracy
0.9564838990426457
predictive_accuracy
0.962866260516391
predictive_accuracy
0.9585146504206556
predictive_accuracy
0.9544399303540336
predictive_accuracy
0.9596633778293673
predictive_accuracy
0.958792803250145
predictive_accuracy
0.9590829947765525
predictive_accuracy
0.953279164248404
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
0.1653078709283379
relative_absolute_error
0.16259314555601712
relative_absolute_error
0.17628904760015676
relative_absolute_error
0.16422981483431642
relative_absolute_error
0.1662729677467745
relative_absolute_error
0.17083463499793744
relative_absolute_error
0.16435983440136018
relative_absolute_error
0.15861119592102685
relative_absolute_error
0.16591710117333286
relative_absolute_error
0.17071404399086368
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
0.17430738348017422
root_mean_squared_error
0.17338094434313772
root_mean_squared_error
0.18270761453104906
root_mean_squared_error
0.1687245053671067
root_mean_squared_error
0.1757761196161706
root_mean_squared_error
0.17786897625030243
root_mean_squared_error
0.17334450912547766
root_mean_squared_error
0.17048353724930013
root_mean_squared_error
0.17580770966070425
root_mean_squared_error
0.18158898999062215
root_relative_squared_error
0.38594665504452974
root_relative_squared_error
0.3837783687537049
root_relative_squared_error
0.40442293430374887
root_relative_squared_error
0.3734713505217265
root_relative_squared_error
0.38908008436406954
root_relative_squared_error
0.39379835437906907
root_relative_squared_error
0.3837812746962643
root_relative_squared_error
0.37744714020853853
root_relative_squared_error
0.3892347513942628
root_relative_squared_error
0.40203439036515315
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
0.9492030836873533 [0.924797,0.973609]
unweighted_recall
0.9458858919536344 [0.915736,0.976036]
unweighted_recall
0.9457838330439946 [0.920812,0.970755]
unweighted_recall
0.9520789090624189 [0.926904,0.977254]
unweighted_recall
0.9475099687844062 [0.921827,0.973193]
unweighted_recall
0.9382211236815861 [0.900407,0.976036]
unweighted_recall
0.9522481557065774 [0.934959,0.969537]
unweighted_recall
0.9470632475414924 [0.919715,0.974411]
unweighted_recall
0.9481814639429904 [0.922764,0.973599]
unweighted_recall
0.9364936465164815 [0.897358,0.97563]
usercpu_time_millis
30432.394704001126
usercpu_time_millis
31024.357319000046
usercpu_time_millis
30992.17646499892
usercpu_time_millis
31659.313374002522
usercpu_time_millis
30109.4161660003
usercpu_time_millis
30941.05394399776
usercpu_time_millis
30738.442701000167
usercpu_time_millis
31718.33028400033
usercpu_time_millis
30303.45194000074
usercpu_time_millis
30040.079418999085
usercpu_time_millis_testing
79.7320990004664
usercpu_time_millis_testing
78.13747900036105
usercpu_time_millis_testing
76.31401199978427
usercpu_time_millis_testing
77.26778300093429
usercpu_time_millis_testing
77.12269799958449
usercpu_time_millis_testing
76.1751699992601
usercpu_time_millis_testing
76.74112300082925
usercpu_time_millis_testing
77.00198400016234
usercpu_time_millis_testing
77.2143860012875
usercpu_time_millis_testing
46.101441999780945
usercpu_time_millis_training
30352.66260500066
usercpu_time_millis_training
30946.219839999685
usercpu_time_millis_training
30915.862452999136
usercpu_time_millis_training
31582.045591001588
usercpu_time_millis_training
30032.293468000717
usercpu_time_millis_training
30864.8787739985
usercpu_time_millis_training
30661.701577999338
usercpu_time_millis_training
31641.32830000017
usercpu_time_millis_training
30226.237553999454
usercpu_time_millis_training
29993.977976999304
wall_clock_time_millis
31002.57968902588
wall_clock_time_millis
31513.42248916626
wall_clock_time_millis
31651.653051376343
wall_clock_time_millis
32129.323482513428
wall_clock_time_millis
30722.076177597046
wall_clock_time_millis
31429.89492416382
wall_clock_time_millis
31240.057468414307
wall_clock_time_millis
32277.101755142212
wall_clock_time_millis
30808.245420455933
wall_clock_time_millis
30547.16181755066
wall_clock_time_millis_testing
84.38301086425781
wall_clock_time_millis_testing
78.28736305236816
wall_clock_time_millis_testing
81.25448226928711
wall_clock_time_millis_testing
77.30960845947266
wall_clock_time_millis_testing
77.2867202758789
wall_clock_time_millis_testing
77.17466354370117
wall_clock_time_millis_testing
77.16941833496094
wall_clock_time_millis_testing
77.25167274475098
wall_clock_time_millis_testing
77.27932929992676
wall_clock_time_millis_testing
46.14853858947754
wall_clock_time_millis_training
30918.19667816162
wall_clock_time_millis_training
31435.13512611389
wall_clock_time_millis_training
31570.398569107056
wall_clock_time_millis_training
32052.013874053955
wall_clock_time_millis_training
30644.789457321167
wall_clock_time_millis_training
31352.720260620117
wall_clock_time_millis_training
31162.888050079346
wall_clock_time_millis_training
32199.85008239746
wall_clock_time_millis_training
30730.966091156006
wall_clock_time_millis_training
30501.01327896118
weighted_recall
0.9596750797795184 [0.924797,0.973609]
weighted_recall
0.9588047577603713 [0.915736,0.976036]
weighted_recall
0.9564838990426457 [0.920812,0.970755]
weighted_recall
0.962866260516391 [0.926904,0.977254]
weighted_recall
0.9585146504206556 [0.921827,0.973193]
weighted_recall
0.9544399303540336 [0.900407,0.976036]
weighted_recall
0.9596633778293674 [0.934959,0.969537]
weighted_recall
0.958792803250145 [0.919715,0.974411]
weighted_recall
0.9590829947765526 [0.922764,0.973599]
weighted_recall
0.953279164248404 [0.897358,0.97563]