10586620
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)
8302902
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
0.11145963477125768
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1730
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
94
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
7
19040
random_state
56188
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.19192474727054687
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
22099511
description
https://api.openml.org/data/download/22099511/description.xml
-1
22099512
predictions
https://api.openml.org/data/download/22099512/predictions.arff
area_under_roc_curve
0.9911299427727436 [0.99113,0.99113]
average_cost
0
f_measure
0.957846528971377 [0.925877,0.970629]
kappa
0.8965071484367138
kb_relative_information_score
0.8365279337839117
mean_absolute_error
0.0702501651179269
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9579283330915421 [0.919951,0.973112]
number_of_instances
34465 [9844,24621]
precision
0.9577957021645068 [0.931879,0.968158]
predictive_accuracy
0.9579283330915422
prior_entropy
0.8629999933345911
relative_absolute_error
0.17214362740582773
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.17678223495490092
root_relative_squared_error
0.3913616408460062
total_cost
0
unweighted_recall
0.9465318115355321 [0.919951,0.973112]
area_under_roc_curve
0.9912012830542435 [0.991201,0.991201]
area_under_roc_curve
0.9916111699868456 [0.991611,0.991611]
area_under_roc_curve
0.9892768043809045 [0.989277,0.989277]
area_under_roc_curve
0.9924795985270528 [0.99248,0.99248]
area_under_roc_curve
0.9912212843340603 [0.991221,0.991221]
area_under_roc_curve
0.9913353708069981 [0.991335,0.991335]
area_under_roc_curve
0.9905667776214724 [0.990567,0.990567]
area_under_roc_curve
0.9927299422770832 [0.99273,0.99273]
area_under_roc_curve
0.9899277968206165 [0.989928,0.989928]
area_under_roc_curve
0.9913219555124065 [0.991322,0.991322]
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
0.9581989493294741 [0.92668,0.970791]
f_measure
0.9587414141500102 [0.927551,0.97122]
f_measure
0.9544600759898701 [0.920345,0.968109]
f_measure
0.9624181760173123 [0.933608,0.973945]
f_measure
0.9567542029243028 [0.92425,0.969758]
f_measure
0.9530362857222175 [0.916796,0.967521]
f_measure
0.9597182602983834 [0.929691,0.971719]
f_measure
0.9610665144031723 [0.931633,0.97283]
f_measure
0.9590390086482162 [0.928098,0.971405]
f_measure
0.9549974027313854 [0.919958,0.969002]
kappa
0.8974714888744024
kappa
0.8987721725534964
kappa
0.8884538907337493
kappa
0.9075594858574201
kappa
0.8940086992429797
kappa
0.8843296760390307
kappa
0.9014115003793338
kappa
0.9044637803017013
kappa
0.8995038129256837
kappa
0.88898251615419
kb_relative_information_score
0.8375086635608819
kb_relative_information_score
0.8396239561474154
kb_relative_information_score
0.8270536386965627
kb_relative_information_score
0.8414084594059709
kb_relative_information_score
0.8352473341894238
kb_relative_information_score
0.8301831673899238
kb_relative_information_score
0.8377142878129594
kb_relative_information_score
0.8460836558681589
kb_relative_information_score
0.8372277870058175
kb_relative_information_score
0.8332299167872707
mean_absolute_error
0.06996808619617285
mean_absolute_error
0.0690194322407787
mean_absolute_error
0.07417833529158152
mean_absolute_error
0.06900346789392399
mean_absolute_error
0.0710693592938156
mean_absolute_error
0.07228533794525405
mean_absolute_error
0.06982776763305075
mean_absolute_error
0.06603466300120624
mean_absolute_error
0.06995342494646926
mean_absolute_error
0.07116119987824357
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
0.9581764634465508 [0.928571,0.970004]
precision
0.9586975689842682 [0.932308,0.969256]
precision
0.9544671967713075 [0.919878,0.968306]
precision
0.9624046282045569 [0.946764,0.968662]
precision
0.9567361417674461 [0.925662,0.969168]
precision
0.9530070068898981 [0.932702,0.961122]
precision
0.9597888019078479 [0.925478,0.973502]
precision
0.9610312147624919 [0.935451,0.971255]
precision
0.9590045735918243 [0.931423,0.970028]
precision
0.9550678352197007 [0.941489,0.960495]
predictive_accuracy
0.95822454308094
predictive_accuracy
0.9588047577603713
predictive_accuracy
0.954453147664636
predictive_accuracy
0.9625761531766754
predictive_accuracy
0.9567740063823615
predictive_accuracy
0.953279164248404
predictive_accuracy
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predictive_accuracy
0.9611143354614045
predictive_accuracy
0.9590829947765525
predictive_accuracy
0.955310504933256
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
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prior_entropy
0.862901291120622
prior_entropy
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prior_entropy
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prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
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relative_absolute_error
0.16910423038359754
relative_absolute_error
0.1817440377785093
relative_absolute_error
0.16906511620226056
relative_absolute_error
0.17412674832371916
relative_absolute_error
0.17714458050820373
relative_absolute_error
0.17112198623944092
relative_absolute_error
0.1618264921886182
relative_absolute_error
0.1714299257567213
relative_absolute_error
0.17438973461587778
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
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.17553623328175294
root_mean_squared_error
0.17491758453907938
root_mean_squared_error
0.18399546414715154
root_mean_squared_error
0.17049150699541601
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.17100683584931833
root_mean_squared_error
0.17546509271806834
root_mean_squared_error
0.18090710507073285
root_relative_squared_error
0.3886675407637821
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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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
0.9481880613568621 [0.924797,0.971579]
unweighted_recall
0.9480175829976042 [0.922843,0.973193]
unweighted_recall
0.9443622245955787 [0.920812,0.967912]
unweighted_recall
0.9500486583892424 [0.920812,0.979285]
unweighted_recall
0.9465959745491883 [0.922843,0.970349]
unweighted_recall
0.9377138191568755 [0.901423,0.974005]
unweighted_recall
0.9519431125464788 [0.933943,0.969943]
unweighted_recall
0.951128288191899 [0.927846,0.974411]
unweighted_recall
0.9487915502631874 [0.924797,0.972786]
unweighted_recall
0.9385253412850945 [0.89939,0.97766]
usercpu_time_millis
35588.11511499516
usercpu_time_millis
32997.125658002915
usercpu_time_millis
34285.26706900084
usercpu_time_millis
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usercpu_time_millis
33177.40983699696
usercpu_time_millis
35514.582212003006
usercpu_time_millis
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usercpu_time_millis
34988.24328500268
usercpu_time_millis
33768.46469299562
usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
78.35161900220555
usercpu_time_millis_testing
77.9450670015649
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
36207.303285598755
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
35650.62427520752
wall_clock_time_millis
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wall_clock_time_millis
32634.0069770813
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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35569.86474990845
wall_clock_time_millis_training
34204.13827896118
wall_clock_time_millis_training
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weighted_recall
0.95822454308094 [0.924797,0.971579]
weighted_recall
0.9588047577603713 [0.922843,0.973193]
weighted_recall
0.954453147664636 [0.920812,0.967912]
weighted_recall
0.9625761531766753 [0.920812,0.979285]
weighted_recall
0.9567740063823614 [0.922843,0.970349]
weighted_recall
0.953279164248404 [0.901423,0.974005]
weighted_recall
0.9596633778293674 [0.933943,0.969943]
weighted_recall
0.9611143354614046 [0.927846,0.974411]
weighted_recall
0.9590829947765526 [0.924797,0.972786]
weighted_recall
0.955310504933256 [0.89939,0.97766]