10586397
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)
8302679
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
"median"
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
0.3018921639299055
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1913
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
69
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
37986
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3119210295731027
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
22099062
description
https://api.openml.org/data/download/22099062/description.xml
-1
22099063
predictions
https://api.openml.org/data/download/22099063/predictions.arff
area_under_roc_curve
0.9933131725970178 [0.993313,0.993313]
average_cost
0
f_measure
0.9650790160373053 [0.938686,0.975632]
kappa
0.9143181204565124
kb_relative_information_score
0.8707696206274274
mean_absolute_error
0.05458518519557128
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9651240388800232 [0.934681,0.977296]
number_of_instances
34465 [9844,24621]
precision
0.9650478808213432 [0.942725,0.973973]
predictive_accuracy
0.9651240388800233
prior_entropy
0.8629999933345911
relative_absolute_error
0.13375757574962152
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.16208325944762325
root_relative_squared_error
0.358820954986078
total_cost
0
unweighted_recall
0.9559884141843085 [0.934681,0.977296]
area_under_roc_curve
0.9924700609673575 [0.99247,0.99247]
area_under_roc_curve
0.9933919433253472 [0.993392,0.993392]
area_under_roc_curve
0.992159813943515 [0.99216,0.99216]
area_under_roc_curve
0.9948463343326172 [0.994846,0.994846]
area_under_roc_curve
0.9936041021496287 [0.993604,0.993604]
area_under_roc_curve
0.9939280312786881 [0.993928,0.993928]
area_under_roc_curve
0.9926467674506152 [0.992647,0.992647]
area_under_roc_curve
0.9951754472865606 [0.995175,0.995175]
area_under_roc_curve
0.991656305931459 [0.991656,0.991656]
area_under_roc_curve
0.9935358918983178 [0.993536,0.993536]
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
0.9636637383122141 [0.936061,0.974691]
f_measure
0.9634353217790786 [0.935976,0.974421]
f_measure
0.9631619722975382 [0.935566,0.974203]
f_measure
0.9685908699963864 [0.944729,0.978138]
f_measure
0.9666325710722277 [0.941595,0.97665]
f_measure
0.9663067957645715 [0.940877,0.976471]
f_measure
0.9634691319934121 [0.93617,0.97438]
f_measure
0.9683154796869031 [0.944303,0.977913]
f_measure
0.9662963856027461 [0.940816,0.97648]
f_measure
0.9609058588970851 [0.930714,0.972973]
kappa
0.9107541761453137
kappa
0.9103970839988399
kappa
0.9097684339056443
kappa
0.9228684589355284
kappa
0.9182444727546543
kappa
0.9173475523266729
kappa
0.9105503736647327
kappa
0.9222163456381273
kappa
0.9172970038432636
kappa
0.9036981299546776
kb_relative_information_score
0.8691096642843809
kb_relative_information_score
0.8692145344338168
kb_relative_information_score
0.8606014993247894
kb_relative_information_score
0.8762062260459048
kb_relative_information_score
0.8732190253408727
kb_relative_information_score
0.8721019834083981
kb_relative_information_score
0.868500820982832
kb_relative_information_score
0.8807460813416538
kb_relative_information_score
0.8704635890242501
kb_relative_information_score
0.8675353857779844
mean_absolute_error
0.055422268481512486
mean_absolute_error
0.054971874494002926
mean_absolute_error
0.05845254481076319
mean_absolute_error
0.053147187038863467
mean_absolute_error
0.05336469557615996
mean_absolute_error
0.05452122848622903
mean_absolute_error
0.055047808401622995
mean_absolute_error
0.05061621826208348
mean_absolute_error
0.05495462232417612
mean_absolute_error
0.055352698147496764
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
0.9636241761920677 [0.942327,0.972132]
precision
0.9634249502744996 [0.936928,0.974026]
precision
0.9631677717935166 [0.935091,0.974401]
precision
0.9685641940578381 [0.952528,0.97498]
precision
0.9666276825322886 [0.942073,0.976451]
precision
0.966282900436534 [0.943763,0.975284]
precision
0.9635094080660012 [0.933333,0.97557]
precision
0.968285817032682 [0.94964,0.975738]
precision
0.9662676107851942 [0.944672,0.974899]
precision
0.9609270914350031 [0.947368,0.966346]
predictive_accuracy
0.9637365825355382
predictive_accuracy
0.9634464751958224
predictive_accuracy
0.9631563678561068
predictive_accuracy
0.9686684073107049
predictive_accuracy
0.9666376559326951
predictive_accuracy
0.9663377829367383
predictive_accuracy
0.963435867672664
predictive_accuracy
0.9683691236215902
predictive_accuracy
0.9663377829367383
predictive_accuracy
0.9611143354614045
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
0.13583126748315402
relative_absolute_error
0.1346863662486019
relative_absolute_error
0.14321434244350048
relative_absolute_error
0.13021570693173698
relative_absolute_error
0.13074862371484045
relative_absolute_error
0.133611330091583
relative_absolute_error
0.1349017823585027
relative_absolute_error
0.12404159689672106
relative_absolute_error
0.13467341780951167
relative_absolute_error
0.135648954159442
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
0.16490681194664586
root_mean_squared_error
0.16442317414268903
root_mean_squared_error
0.16870246732816768
root_mean_squared_error
0.15468026339280863
root_mean_squared_error
0.16198997117992062
root_mean_squared_error
0.1595642398959524
root_mean_squared_error
0.16386163071773008
root_mean_squared_error
0.1529681792640614
root_mean_squared_error
0.16202123227680487
root_mean_squared_error
0.16700711357585998
root_relative_squared_error
0.36513216591369635
root_relative_squared_error
0.36395036257792235
root_relative_squared_error
0.37342256936721957
root_relative_squared_error
0.3423844493879356
root_relative_squared_error
0.3585644727534337
root_relative_squared_error
0.3532720343560543
root_relative_squared_error
0.36278637164755767
root_relative_squared_error
0.33866848809980377
root_relative_squared_error
0.3587117663244896
root_relative_squared_error
0.3697504077564517
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
0.9535707742887417 [0.929878,0.977263]
unweighted_recall
0.9549213012407889 [0.935025,0.974817]
unweighted_recall
0.9550227416115824 [0.936041,0.974005]
unweighted_recall
0.9591859204064213 [0.937056,0.981316]
unweighted_recall
0.9589824211259881 [0.941117,0.976848]
unweighted_recall
0.9578342843745253 [0.938008,0.97766]
unweighted_recall
0.956108458322601 [0.939024,0.973193]
unweighted_recall
0.9595609359830397 [0.939024,0.980097]
unweighted_recall
0.9575292412144267 [0.936992,0.978067]
unweighted_recall
0.947162727110618 [0.914634,0.979691]
usercpu_time_millis
29302.521397999953
usercpu_time_millis
29864.85308400006
usercpu_time_millis
30095.053844001086
usercpu_time_millis
30782.806156001243
usercpu_time_millis
30500.30047999826
usercpu_time_millis
31282.77435400014
usercpu_time_millis
30698.838332000378
usercpu_time_millis
31947.40432099934
usercpu_time_millis
30641.49694200023
usercpu_time_millis
29969.101224000042
usercpu_time_millis_testing
79.11563500056218
usercpu_time_millis_testing
77.5362700005644
usercpu_time_millis_testing
79.22393800072314
usercpu_time_millis_testing
78.38081299996702
usercpu_time_millis_testing
79.12139799918805
usercpu_time_millis_testing
79.51374000003852
usercpu_time_millis_testing
79.9707349997334
usercpu_time_millis_testing
77.35034899997117
usercpu_time_millis_testing
77.45848400008981
usercpu_time_millis_testing
45.56834799950593
usercpu_time_millis_training
29223.40576299939
usercpu_time_millis_training
29787.316813999496
usercpu_time_millis_training
30015.829906000363
usercpu_time_millis_training
30704.425343001276
usercpu_time_millis_training
30421.17908199907
usercpu_time_millis_training
31203.2606140001
usercpu_time_millis_training
30618.867597000644
usercpu_time_millis_training
31870.05397199937
usercpu_time_millis_training
30564.03845800014
usercpu_time_millis_training
29923.532876000536
wall_clock_time_millis
29775.54202079773
wall_clock_time_millis
30478.655576705933
wall_clock_time_millis
30637.61043548584
wall_clock_time_millis
31331.283569335938
wall_clock_time_millis
31000.45919418335
wall_clock_time_millis
31903.215646743774
wall_clock_time_millis
31260.14471054077
wall_clock_time_millis
32549.705743789673
wall_clock_time_millis
31089.280605316162
wall_clock_time_millis
30524.486303329468
wall_clock_time_millis_testing
82.56006240844727
wall_clock_time_millis_testing
77.6512622833252
wall_clock_time_millis_testing
79.45609092712402
wall_clock_time_millis_testing
78.45044136047363
wall_clock_time_millis_testing
79.3008804321289
wall_clock_time_millis_testing
81.27737045288086
wall_clock_time_millis_testing
80.05428314208984
wall_clock_time_millis_testing
77.47578620910645
wall_clock_time_millis_testing
77.57401466369629
wall_clock_time_millis_testing
45.578718185424805
wall_clock_time_millis_training
29692.981958389282
wall_clock_time_millis_training
30401.004314422607
wall_clock_time_millis_training
30558.154344558716
wall_clock_time_millis_training
31252.833127975464
wall_clock_time_millis_training
30921.15831375122
wall_clock_time_millis_training
31821.938276290894
wall_clock_time_millis_training
31180.09042739868
wall_clock_time_millis_training
32472.229957580566
wall_clock_time_millis_training
31011.706590652466
wall_clock_time_millis_training
30478.907585144043
weighted_recall
0.9637365825355382 [0.929878,0.977263]
weighted_recall
0.9634464751958225 [0.935025,0.974817]
weighted_recall
0.9631563678561068 [0.936041,0.974005]
weighted_recall
0.9686684073107049 [0.937056,0.981316]
weighted_recall
0.9666376559326951 [0.941117,0.976848]
weighted_recall
0.9663377829367382 [0.938008,0.97766]
weighted_recall
0.963435867672664 [0.939024,0.973193]
weighted_recall
0.9683691236215902 [0.939024,0.980097]
weighted_recall
0.9663377829367382 [0.936992,0.978067]
weighted_recall
0.9611143354614046 [0.914634,0.979691]