10291054
8323
Heinrich Peters
37
Supervised Classification
12736
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8166725
l2_regularization
1.0
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
128
12677
max_depth
16
12677
max_iter
100
12677
max_leaf_nodes
128
12677
min_samples_leaf
10
12677
n_iter_no_change
null
12677
random_state
61915
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.2
12677
verbose
0
12677
memory
null
12736
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}]
12736
verbose
false
12736
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
openml-python
Sklearn_0.21.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21503626
description
https://api.openml.org/data/download/21503626/description.xml
-1
21503627
predictions
https://api.openml.org/data/download/21503627/predictions.arff
area_under_roc_curve
0.8063880597014924 [0.806388,0.806388]
average_cost
0
f_measure
0.7441575411841151 [0.810916,0.619608]
kappa
0.4312587796982838
kb_relative_information_score
0.37719005585997245
mean_absolute_error
0.2787527226048565
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7427245689700323 [0.790875,0.652893]
predictive_accuracy
0.7473958333333333
prior_entropy
0.9331348051619819
recall
0.7473958333333334 [0.832,0.589552]
relative_absolute_error
0.6133290050884355
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.433052397423386
root_relative_squared_error
0.9085506030488842
total_cost
0
area_under_roc_curve
0.9051851851851852 [0.905185,0.905185]
area_under_roc_curve
0.737037037037037 [0.737037,0.737037]
area_under_roc_curve
0.8244444444444444 [0.824444,0.824444]
area_under_roc_curve
0.7985185185185185 [0.798519,0.798519]
area_under_roc_curve
0.7481481481481481 [0.748148,0.748148]
area_under_roc_curve
0.7814814814814814 [0.781481,0.781481]
area_under_roc_curve
0.8429629629629629 [0.842963,0.842963]
area_under_roc_curve
0.8274074074074074 [0.827407,0.827407]
area_under_roc_curve
0.8292307692307691 [0.829231,0.829231]
area_under_roc_curve
0.7569230769230769 [0.756923,0.756923]
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
0.8409190809190809 [0.884615,0.76]
f_measure
0.7198515769944341 [0.8,0.571429]
f_measure
0.7922077922077921 [0.84,0.703704]
f_measure
0.7465323791854402 [0.819048,0.612245]
f_measure
0.6591545709192769 [0.745098,0.5]
f_measure
0.7115923292393881 [0.784314,0.576923]
f_measure
0.7260499634869146 [0.792079,0.603774]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.7662349018964857 [0.841121,0.622222]
f_measure
0.7026777469990766 [0.757895,0.596491]
kappa
0.6457055214723926
kappa
0.3744680851063831
kappa
0.5437037037037038
kappa
0.4340425531914895
kappa
0.24566691785983413
kappa
0.3617181612660135
kappa
0.39596563317146066
kappa
0.4936170212765959
kappa
0.4687499999999999
kappa
0.3573529411764704
kb_relative_information_score
0.5868096136240799
kb_relative_information_score
0.2738189108691346
kb_relative_information_score
0.4004556840476267
kb_relative_information_score
0.3529093948390568
kb_relative_information_score
0.2560006952010624
kb_relative_information_score
0.3055305023669889
kb_relative_information_score
0.4307037794357532
kb_relative_information_score
0.448402966361735
kb_relative_information_score
0.41188924245313074
kb_relative_information_score
0.30458053390964934
mean_absolute_error
0.192680420364547
mean_absolute_error
0.32237344451271477
mean_absolute_error
0.27159837214702076
mean_absolute_error
0.2931631511957077
mean_absolute_error
0.32871069262244634
mean_absolute_error
0.3103230030189318
mean_absolute_error
0.25329103552198295
mean_absolute_error
0.24965903396834027
mean_absolute_error
0.2610010070853002
mean_absolute_error
0.3048352580785107
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.8428174080347993 [0.851852,0.826087]
precision
0.71900826446281 [0.763636,0.636364]
precision
0.7922077922077922 [0.84,0.703704]
precision
0.7467532467532467 [0.781818,0.681818]
precision
0.6568631368631368 [0.730769,0.52]
precision
0.70989010989011 [0.769231,0.6]
precision
0.7250788427259015 [0.784314,0.615385]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.7714681440443213 [0.789474,0.736842]
precision
0.7139219015280136 [0.8,0.548387]
predictive_accuracy
0.8441558441558442
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.7763157894736843
predictive_accuracy
0.6973684210526316
prior_entropy
0.9346519933901933
prior_entropy
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prior_entropy
0.9346519933901933
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
recall
0.8441558441558441 [0.92,0.703704]
recall
0.7272727272727273 [0.84,0.518519]
recall
0.7922077922077922 [0.84,0.703704]
recall
0.7532467532467533 [0.86,0.555556]
recall
0.6623376623376623 [0.76,0.481481]
recall
0.7142857142857143 [0.8,0.555556]
recall
0.7272727272727273 [0.8,0.592593]
recall
0.7792207792207793 [0.88,0.592593]
recall
0.7763157894736842 [0.9,0.538462]
recall
0.6973684210526315 [0.72,0.653846]
relative_absolute_error
0.4234726664719567
relative_absolute_error
0.7085117516832424
relative_absolute_error
0.5969183928752952
relative_absolute_error
0.6443134238200499
relative_absolute_error
0.7224397436922125
relative_absolute_error
0.6820273139708805
relative_absolute_error
0.5566825627793435
relative_absolute_error
0.5487001565771907
relative_absolute_error
0.5768914841604375
relative_absolute_error
0.6737784900571997
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4771750938215478
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0.4771750938215478
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
0.3276363502084094
root_mean_squared_error
0.49314681025659135
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.45274786420209057
root_mean_squared_error
0.41039102851545317
root_mean_squared_error
0.41220611591884915
root_mean_squared_error
0.40633997268884653
root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
1.0334713958080481
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.9739120557981344
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
0.8564082084277529
root_relative_squared_error
1.011646022478651
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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wall_clock_time_millis
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