10586480
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)
8302762
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
0.7150573824760391
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1749
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
154
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
1
19040
random_state
5961
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.028868710473636858
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
22099230
description
https://api.openml.org/data/download/22099230/description.xml
-1
22099231
predictions
https://api.openml.org/data/download/22099231/predictions.arff
area_under_roc_curve
0.989734767123225 [0.989735,0.989735]
average_cost
0
f_measure
0.9551519733628234 [0.921175,0.968737]
kappa
0.8899131265346337
kb_relative_information_score
0.8411515533442201
mean_absolute_error
0.06672136294527382
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9552299434208618 [0.915888,0.97096]
number_of_instances
34465 [9844,24621]
precision
0.9550987947922789 [0.926523,0.966524]
predictive_accuracy
0.9552299434208618
prior_entropy
0.8629999933345911
relative_absolute_error
0.1634965188135797
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.1822911974849588
root_relative_squared_error
0.40355741728062733
total_cost
0
unweighted_recall
0.9434238001371824 [0.915888,0.97096]
area_under_roc_curve
0.9899859382272262 [0.989986,0.989986]
area_under_roc_curve
0.9906485173623855 [0.990649,0.990649]
area_under_roc_curve
0.9891219634897138 [0.989122,0.989122]
area_under_roc_curve
0.9916301385114655 [0.99163,0.99163]
area_under_roc_curve
0.9891514471747207 [0.989151,0.989151]
area_under_roc_curve
0.9909824453646648 [0.990982,0.990982]
area_under_roc_curve
0.9907209503147022 [0.990721,0.990721]
area_under_roc_curve
0.9918418497751184 [0.991842,0.991842]
area_under_roc_curve
0.9835266374089411 [0.983527,0.983527]
area_under_roc_curve
0.9888605585385667 [0.988861,0.988861]
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
0.9587921633481897 [0.927772,0.971185]
f_measure
0.9573346834219629 [0.925267,0.970164]
f_measure
0.9545013609655247 [0.920587,0.96807]
f_measure
0.9604724584443989 [0.930541,0.972447]
f_measure
0.9524512600563929 [0.91692,0.966667]
f_measure
0.9545168065115418 [0.919505,0.96851]
f_measure
0.955809201196513 [0.92229,0.969206]
f_measure
0.9596324655119131 [0.92919,0.9718]
f_measure
0.9497273412902718 [0.91169,0.96493]
f_measure
0.9482161277095206 [0.907668,0.964422]
kappa
0.8989572327963229
kappa
0.895431401266564
kappa
0.8886572701990896
kappa
0.9029901399217287
kappa
0.8835868179227223
kappa
0.888025435358047
kappa
0.8914978415239421
kappa
0.9009898247683981
kappa
0.8766207345577757
kappa
0.8721252168312633
kb_relative_information_score
0.8509791636736239
kb_relative_information_score
0.843924931808721
kb_relative_information_score
0.8382900421306205
kb_relative_information_score
0.8520398493501844
kb_relative_information_score
0.8336727077268504
kb_relative_information_score
0.8437083878531517
kb_relative_information_score
0.8538059871756704
kb_relative_information_score
0.8509415496185203
kb_relative_information_score
0.8202550313616652
kb_relative_information_score
0.8238942597613271
mean_absolute_error
0.06300638599540423
mean_absolute_error
0.06607489719193226
mean_absolute_error
0.06683969846004706
mean_absolute_error
0.06307481432511292
mean_absolute_error
0.06941532298261535
mean_absolute_error
0.06534475538448818
mean_absolute_error
0.06072350906428551
mean_absolute_error
0.06259374410585875
mean_absolute_error
0.07590186221662151
mean_absolute_error
0.07424014747324174
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
0.9587803457088635 [0.928717,0.970791]
precision
0.957316889650033 [0.92668,0.969574]
precision
0.9545589729460658 [0.917339,0.96945]
precision
0.9604277016175419 [0.93628,0.970089]
precision
0.952483188269269 [0.915066,0.967453]
precision
0.9544801075418036 [0.933962,0.962681]
precision
0.9557555249356677 [0.927984,0.966855]
precision
0.9596064249338949 [0.931563,0.970815]
precision
0.9496733957290435 [0.915897,0.963173]
precision
0.9483081368355718 [0.932476,0.954636]
predictive_accuracy
0.9588047577603713
predictive_accuracy
0.9573542210617929
predictive_accuracy
0.954453147664636
predictive_accuracy
0.9605454017986655
predictive_accuracy
0.9524223962866261
predictive_accuracy
0.954730121880441
predictive_accuracy
0.9558908879860708
predictive_accuracy
0.9596633778293673
predictive_accuracy
0.9497968659315148
predictive_accuracy
0.9486360998258851
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
0.15441874726119198
relative_absolute_error
0.16188983702933704
relative_absolute_error
0.1637636735075882
relative_absolute_error
0.1545393461920514
relative_absolute_error
0.1700742006809586
relative_absolute_error
0.160135784241102
relative_absolute_error
0.14881082175095803
relative_absolute_error
0.15339407488788254
relative_absolute_error
0.1860073415211539
relative_absolute_error
0.1819350943752217
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
0.17675095972388052
root_mean_squared_error
0.17931099883036702
root_mean_squared_error
0.18771797687047342
root_mean_squared_error
0.17334076671273135
root_mean_squared_error
0.18788360613408872
root_mean_squared_error
0.18008337325006918
root_mean_squared_error
0.17456525629017805
root_mean_squared_error
0.17598504148446192
root_mean_squared_error
0.19299214830453165
root_mean_squared_error
0.19288088839665193
root_relative_squared_error
0.3913571549256894
root_relative_squared_error
0.3969045323373186
root_relative_squared_error
0.4155133611829781
root_relative_squared_error
0.3836894356502652
root_relative_squared_error
0.41587998122215813
root_relative_squared_error
0.3987009850279516
root_relative_squared_error
0.3864839844925777
root_relative_squared_error
0.3896273605037712
root_relative_squared_error
0.4272807547025874
root_relative_squared_error
0.4270344274927779
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
0.9492043215194637 [0.926829,0.971579]
unweighted_recall
0.9473066756835885 [0.923858,0.970755]
unweighted_recall
0.9452758064715658 [0.923858,0.966694]
unweighted_recall
0.9498451591088093 [0.924873,0.974817]
unweighted_recall
0.9423315615631713 [0.918782,0.965881]
unweighted_recall
0.939949426403281 [0.905488,0.974411]
unweighted_recall
0.944117248849174 [0.916667,0.971568]
unweighted_recall
0.9498078104257891 [0.926829,0.972786]
unweighted_recall
0.9371070350630395 [0.90752,0.966694]
unweighted_recall
0.929278694695964 [0.884146,0.974411]
usercpu_time_millis
9396.078230001876
usercpu_time_millis
8154.608959001052
usercpu_time_millis
10733.013112003391
usercpu_time_millis
9630.904505000217
usercpu_time_millis
7797.927558003721
usercpu_time_millis
8191.291727001953
usercpu_time_millis
10193.454845997621
usercpu_time_millis
8203.357081998547
usercpu_time_millis
5587.131217998831
usercpu_time_millis
5177.65643200255
usercpu_time_millis_testing
69.24989300023299
usercpu_time_millis_testing
70.99376200130791
usercpu_time_millis_testing
70.00009300099919
usercpu_time_millis_testing
79.83916800003499
usercpu_time_millis_testing
67.33330300266971
usercpu_time_millis_testing
70.24847299908288
usercpu_time_millis_testing
66.42269700023462
usercpu_time_millis_testing
67.4862009982462
usercpu_time_millis_testing
66.60066399854259
usercpu_time_millis_testing
40.28471399942646
usercpu_time_millis_training
9326.828337001643
usercpu_time_millis_training
8083.6151969997445
usercpu_time_millis_training
10663.013019002392
usercpu_time_millis_training
9551.065337000182
usercpu_time_millis_training
7730.594255001051
usercpu_time_millis_training
8121.0432540028705
usercpu_time_millis_training
10127.032148997387
usercpu_time_millis_training
8135.870881000301
usercpu_time_millis_training
5520.530554000288
usercpu_time_millis_training
5137.3717180031235
wall_clock_time_millis
9621.226072311401
wall_clock_time_millis
8266.024589538574
wall_clock_time_millis
10903.91755104065
wall_clock_time_millis
9837.462186813354
wall_clock_time_millis
7908.203363418579
wall_clock_time_millis
8386.502981185913
wall_clock_time_millis
10334.964036941528
wall_clock_time_millis
8397.557735443115
wall_clock_time_millis
5729.073762893677
wall_clock_time_millis
5244.800329208374
wall_clock_time_millis_testing
70.75262069702148
wall_clock_time_millis_testing
71.81406021118164
wall_clock_time_millis_testing
70.06406784057617
wall_clock_time_millis_testing
81.38632774353027
wall_clock_time_millis_testing
67.4285888671875
wall_clock_time_millis_testing
70.35136222839355
wall_clock_time_millis_testing
66.48850440979004
wall_clock_time_millis_testing
67.60668754577637
wall_clock_time_millis_testing
68.06588172912598
wall_clock_time_millis_testing
40.292978286743164
wall_clock_time_millis_training
9550.47345161438
wall_clock_time_millis_training
8194.210529327393
wall_clock_time_millis_training
10833.853483200073
wall_clock_time_millis_training
9756.075859069824
wall_clock_time_millis_training
7840.774774551392
wall_clock_time_millis_training
8316.15161895752
wall_clock_time_millis_training
10268.475532531738
wall_clock_time_millis_training
8329.951047897339
wall_clock_time_millis_training
5661.007881164551
wall_clock_time_millis_training
5204.507350921631
weighted_recall
0.9588047577603713 [0.926829,0.971579]
weighted_recall
0.9573542210617929 [0.923858,0.970755]
weighted_recall
0.954453147664636 [0.923858,0.966694]
weighted_recall
0.9605454017986655 [0.924873,0.974817]
weighted_recall
0.9524223962866261 [0.918782,0.965881]
weighted_recall
0.954730121880441 [0.905488,0.974411]
weighted_recall
0.9558908879860708 [0.916667,0.971568]
weighted_recall
0.9596633778293674 [0.926829,0.972786]
weighted_recall
0.9497968659315148 [0.90752,0.966694]
weighted_recall
0.948636099825885 [0.884146,0.974411]