10586393
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)
8302675
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
0.19946264724292123
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1158
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
115
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
42750
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.17401882273705357
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
22099054
description
https://api.openml.org/data/download/22099054/description.xml
-1
22099055
predictions
https://api.openml.org/data/download/22099055/predictions.arff
area_under_roc_curve
0.9927918520677577 [0.992792,0.992792]
average_cost
0
f_measure
0.9625828250489421 [0.934313,0.973886]
kappa
0.9081990257146757
kb_relative_information_score
0.8583993219758913
mean_absolute_error
0.06029457509360243
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9626287538082112 [0.930516,0.975468]
number_of_instances
34465 [9844,24621]
precision
0.9625494415624092 [0.93814,0.972309]
predictive_accuracy
0.9626287538082113
prior_entropy
0.8629999933345911
relative_absolute_error
0.1477480779167184
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.1667258550896165
root_relative_squared_error
0.3690987628704422
total_cost
0
unweighted_recall
0.9529920733632722 [0.930516,0.975468]
area_under_roc_curve
0.9928017999729327 [0.992802,0.992802]
area_under_roc_curve
0.9933222546153307 [0.993322,0.993322]
area_under_roc_curve
0.9915334402718271 [0.991533,0.991533]
area_under_roc_curve
0.9940290383370378 [0.994029,0.994029]
area_under_roc_curve
0.9931896811226067 [0.99319,0.99319]
area_under_roc_curve
0.992560909565229 [0.992561,0.992561]
area_under_roc_curve
0.9924106582658028 [0.992411,0.992411]
area_under_roc_curve
0.9939808669004644 [0.993981,0.993981]
area_under_roc_curve
0.9911469375152727 [0.991147,0.991147]
area_under_roc_curve
0.9931268286078474 [0.993127,0.993127]
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
0.9611137316102633 [0.931841,0.972808]
f_measure
0.9639936312796102 [0.936864,0.974848]
f_measure
0.9622629856456408 [0.933876,0.97362]
f_measure
0.9657040448267579 [0.939734,0.976094]
f_measure
0.9634575849067213 [0.936105,0.974401]
f_measure
0.9613027723158345 [0.93183,0.973082]
f_measure
0.9608774470523868 [0.931715,0.972533]
f_measure
0.9657152888027933 [0.939796,0.976075]
f_measure
0.9616117945850643 [0.932446,0.973269]
f_measure
0.9597777913833836 [0.928866,0.972132]
kappa
0.9046497830613188
kappa
0.9117117422300476
kappa
0.9074961727679434
kappa
0.9158296802262056
kappa
0.9105061636968088
kappa
0.9049150534533589
kappa
0.9042485795051082
kappa
0.9158710901164234
kappa
0.9057167090473589
kappa
0.9010065297870533
kb_relative_information_score
0.8573746057096497
kb_relative_information_score
0.8614308138988038
kb_relative_information_score
0.8506057878314056
kb_relative_information_score
0.8625397078732847
kb_relative_information_score
0.8613412391445437
kb_relative_information_score
0.8546002199484904
kb_relative_information_score
0.8570650106869836
kb_relative_information_score
0.8648479318784028
kb_relative_information_score
0.858173624791335
kb_relative_information_score
0.8560130346376695
mean_absolute_error
0.06085045073858259
mean_absolute_error
0.059254823292065266
mean_absolute_error
0.06343399222477795
mean_absolute_error
0.059209573927244234
mean_absolute_error
0.05905221454822202
mean_absolute_error
0.061846272691598085
mean_absolute_error
0.06034058709152793
mean_absolute_error
0.057392529103327296
mean_absolute_error
0.06040224109804585
mean_absolute_error
0.0611629709857922
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
0.9611026263016704 [0.93279,0.972414]
precision
0.9639676325000639 [0.939734,0.973663]
precision
0.9622430511421938 [0.93578,0.97283]
precision
0.965669170406383 [0.945529,0.973727]
precision
0.9634694747353799 [0.935157,0.974797]
precision
0.9612578850532023 [0.940021,0.969746]
precision
0.9609464371560513 [0.927492,0.974317]
precision
0.9656857890048941 [0.943648,0.974494]
precision
0.9615673871527688 [0.939175,0.970517]
precision
0.9597569514429035 [0.942469,0.966667]
predictive_accuracy
0.9611256164780968
predictive_accuracy
0.9640266898752539
predictive_accuracy
0.9622860458369596
predictive_accuracy
0.9657673339135481
predictive_accuracy
0.9634464751958224
predictive_accuracy
0.9614045269878119
predictive_accuracy
0.960824143934997
predictive_accuracy
0.9657573998839234
predictive_accuracy
0.9616947185142193
predictive_accuracy
0.9599535693557748
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
0.14913488886691878
relative_absolute_error
0.14518000168944473
relative_absolute_error
0.1554193665040378
relative_absolute_error
0.1450691364046259
relative_absolute_error
0.1446835908297165
relative_absolute_error
0.1515622994008348
relative_absolute_error
0.14787242187403019
relative_absolute_error
0.1406478240443959
relative_absolute_error
0.1480235130002768
relative_absolute_error
0.14988778009337583
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
0.1665335555166556
root_mean_squared_error
0.16504526689245447
root_mean_squared_error
0.17209830439963159
root_mean_squared_error
0.16079437480170525
root_mean_squared_error
0.1661741910744042
root_mean_squared_error
0.1694973206901269
root_mean_squared_error
0.16812607521343742
root_mean_squared_error
0.1618208461717775
root_mean_squared_error
0.16744404738567606
root_mean_squared_error
0.16939975869532636
root_relative_squared_error
0.36873405716422897
root_relative_squared_error
0.3653273636181635
root_relative_squared_error
0.3809392478394543
root_relative_squared_error
0.3559180225944633
root_relative_squared_error
0.3678262350058854
root_relative_squared_error
0.3752636764800619
root_relative_squared_error
0.37222776643237515
root_relative_squared_error
0.3582681154975508
root_relative_squared_error
0.37071777046863164
root_relative_squared_error
0.3750476761757237
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
0.95204885970906 [0.930894,0.973203]
unweighted_recall
0.9550229477911978 [0.93401,0.976036]
unweighted_recall
0.9531953716799928 [0.93198,0.974411]
unweighted_recall
0.9562414693184114 [0.93401,0.978473]
unweighted_recall
0.9555303558247803 [0.937056,0.974005]
unweighted_recall
0.9501112024727072 [0.92378,0.976442]
unweighted_recall
0.953365546551485 [0.935976,0.970755]
unweighted_recall
0.9568180242119237 [0.935976,0.97766]
unweighted_recall
0.9509243757141064 [0.925813,0.976036]
unweighted_recall
0.9466554225859074 [0.91565,0.97766]
usercpu_time_millis
35642.78724599899
usercpu_time_millis
37045.67813699941
usercpu_time_millis
35207.23823299886
usercpu_time_millis
36268.39160799864
usercpu_time_millis
34435.805719998825
usercpu_time_millis
35488.57065499942
usercpu_time_millis
34614.864088000104
usercpu_time_millis
36135.91316900056
usercpu_time_millis
35486.384793999605
usercpu_time_millis
34214.89390300121
usercpu_time_millis_testing
73.92378899930918
usercpu_time_millis_testing
77.60550499915553
usercpu_time_millis_testing
78.82438900014677
usercpu_time_millis_testing
78.7506829983613
usercpu_time_millis_testing
75.47829299983277
usercpu_time_millis_testing
74.49822399939876
usercpu_time_millis_testing
78.05939500030945
usercpu_time_millis_testing
76.42863200089778
usercpu_time_millis_testing
74.43592399977206
usercpu_time_millis_testing
46.2946350016864
usercpu_time_millis_training
35568.86345699968
usercpu_time_millis_training
36968.07263200026
usercpu_time_millis_training
35128.413843998715
usercpu_time_millis_training
36189.640925000276
usercpu_time_millis_training
34360.32742699899
usercpu_time_millis_training
35414.07243100002
usercpu_time_millis_training
34536.804692999794
usercpu_time_millis_training
36059.48453699966
usercpu_time_millis_training
35411.94886999983
usercpu_time_millis_training
34168.599267999525
wall_clock_time_millis
36223.061084747314
wall_clock_time_millis
37784.99388694763
wall_clock_time_millis
35754.358530044556
wall_clock_time_millis
36992.6917552948
wall_clock_time_millis
34997.85661697388
wall_clock_time_millis
36143.32175254822
wall_clock_time_millis
35116.997480392456
wall_clock_time_millis
36859.84230041504
wall_clock_time_millis
36158.8351726532
wall_clock_time_millis
34713.672161102295
wall_clock_time_millis_testing
73.93741607666016
wall_clock_time_millis_testing
77.88252830505371
wall_clock_time_millis_testing
79.05745506286621
wall_clock_time_millis_testing
79.00619506835938
wall_clock_time_millis_testing
75.6375789642334
wall_clock_time_millis_testing
74.90873336791992
wall_clock_time_millis_testing
81.54010772705078
wall_clock_time_millis_testing
88.87314796447754
wall_clock_time_millis_testing
77.58665084838867
wall_clock_time_millis_testing
46.38862609863281
wall_clock_time_millis_training
36149.123668670654
wall_clock_time_millis_training
37707.11135864258
wall_clock_time_millis_training
35675.30107498169
wall_clock_time_millis_training
36913.68556022644
wall_clock_time_millis_training
34922.21903800964
wall_clock_time_millis_training
36068.4130191803
wall_clock_time_millis_training
35035.457372665405
wall_clock_time_millis_training
36770.96915245056
wall_clock_time_millis_training
36081.24852180481
wall_clock_time_millis_training
34667.28353500366
weighted_recall
0.9611256164780969 [0.930894,0.973203]
weighted_recall
0.9640266898752539 [0.93401,0.976036]
weighted_recall
0.9622860458369596 [0.93198,0.974411]
weighted_recall
0.965767333913548 [0.93401,0.978473]
weighted_recall
0.9634464751958225 [0.937056,0.974005]
weighted_recall
0.961404526987812 [0.92378,0.976442]
weighted_recall
0.960824143934997 [0.935976,0.970755]
weighted_recall
0.9657573998839234 [0.935976,0.97766]
weighted_recall
0.9616947185142194 [0.925813,0.976036]
weighted_recall
0.9599535693557748 [0.91565,0.97766]