10290983
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)
8158102
l2_regularization
1e-09
12677
learning_rate
0.01
12677
loss
"auto"
12677
max_bins
16
12677
max_depth
2
12677
max_iter
500
12677
max_leaf_nodes
4
12677
min_samples_leaf
20
12677
n_iter_no_change
null
12677
random_state
5357
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.1
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
21503484
description
https://api.openml.org/data/download/21503484/description.xml
-1
21503485
predictions
https://api.openml.org/data/download/21503485/predictions.arff
area_under_roc_curve
0.82619776119403 [0.826198,0.826198]
average_cost
0
f_measure
0.754971884900978 [0.82588,0.62268]
kappa
0.4513600449704881
kb_relative_information_score
0.30554705742874083
mean_absolute_error
0.32219894110863695
mean_prior_absolute_error
0.4544913419913401
number_of_instances
768 [500,268]
precision
0.7556222400411485 [0.787659,0.695853]
predictive_accuracy
0.76171875
prior_entropy
0.9331348051619819
recall
0.76171875 [0.868,0.563433]
relative_absolute_error
0.7089220659230426
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.3990909746574255
root_relative_squared_error
0.8372990147468697
total_cost
0
area_under_roc_curve
0.8800000000000001 [0.88,0.88]
area_under_roc_curve
0.7640740740740741 [0.764074,0.764074]
area_under_roc_curve
0.8651851851851851 [0.865185,0.865185]
area_under_roc_curve
0.8044444444444444 [0.804444,0.804444]
area_under_roc_curve
0.7962962962962963 [0.796296,0.796296]
area_under_roc_curve
0.8733333333333334 [0.873333,0.873333]
area_under_roc_curve
0.8118518518518517 [0.811852,0.811852]
area_under_roc_curve
0.8607407407407407 [0.860741,0.860741]
area_under_roc_curve
0.8638461538461538 [0.863846,0.863846]
area_under_roc_curve
0.7884615384615384 [0.788462,0.788462]
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
0.8265747857584592 [0.87619,0.734694]
f_measure
0.6553246753246754 [0.75,0.48]
f_measure
0.7640300875594993 [0.823529,0.653846]
f_measure
0.7059025198560083 [0.810811,0.511628]
f_measure
0.7083516483516483 [0.788462,0.56]
f_measure
0.8181818181818181 [0.86,0.740741]
f_measure
0.7582394021073267 [0.830189,0.625]
f_measure
0.833530106257379 [0.890909,0.727273]
f_measure
0.7662349018964857 [0.841121,0.622222]
f_measure
0.7075748194014448 [0.784314,0.56]
kappa
0.6127659574468087
kappa
0.23236196319018407
kappa
0.4777694046721929
kappa
0.33919084593379656
kappa
0.3504601226993866
kappa
0.6007407407407408
kappa
0.459016393442623
kappa
0.6259109311740889
kappa
0.4687499999999999
kappa
0.3448275862068965
kb_relative_information_score
0.3819184960406794
kb_relative_information_score
0.2228823475783388
kb_relative_information_score
0.33040104688297084
kb_relative_information_score
0.26569555479269164
kb_relative_information_score
0.2289910851546952
kb_relative_information_score
0.318018336849984
kb_relative_information_score
0.300990867135801
kb_relative_information_score
0.3699979756026203
kb_relative_information_score
0.3507089273888647
kb_relative_information_score
0.2864146977258243
mean_absolute_error
0.2948644265327235
mean_absolute_error
0.3486077689210872
mean_absolute_error
0.3164165735050218
mean_absolute_error
0.3362313097404447
mean_absolute_error
0.35265963364527164
mean_absolute_error
0.3208488703137152
mean_absolute_error
0.32221913063839325
mean_absolute_error
0.29858684003157215
mean_absolute_error
0.3049641731288172
mean_absolute_error
0.32642169746539
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
0.8299881936245572 [0.836364,0.818182]
precision
0.6519229562707823 [0.722222,0.521739]
precision
0.7629170829170829 [0.807692,0.68]
precision
0.7201005961251863 [0.737705,0.6875]
precision
0.7064642282033586 [0.759259,0.608696]
precision
0.8181818181818182 [0.86,0.740741]
precision
0.7606679035250463 [0.785714,0.714286]
precision
0.8603259485612428 [0.816667,0.941176]
precision
0.7714681440443213 [0.789474,0.736842]
precision
0.7056342780026992 [0.769231,0.583333]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8441558441558442
predictive_accuracy
0.7763157894736843
predictive_accuracy
0.7105263157894737
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
recall
0.8311688311688312 [0.92,0.666667]
recall
0.6623376623376623 [0.78,0.444444]
recall
0.7662337662337663 [0.84,0.62963]
recall
0.7272727272727273 [0.9,0.407407]
recall
0.7142857142857143 [0.82,0.518519]
recall
0.8181818181818182 [0.86,0.740741]
recall
0.7662337662337663 [0.88,0.555556]
recall
0.8441558441558441 [0.98,0.592593]
recall
0.7763157894736842 [0.9,0.538462]
recall
0.7105263157894737 [0.8,0.538462]
relative_absolute_error
0.648052483564709
relative_absolute_error
0.766169500660979
relative_absolute_error
0.6954197517556703
relative_absolute_error
0.7389685418879394
relative_absolute_error
0.7750746813518231
relative_absolute_error
0.7051610453682821
relative_absolute_error
0.7081726009397009
relative_absolute_error
0.6562335969704521
relative_absolute_error
0.6740634314661713
relative_absolute_error
0.7214910762832223
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
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.36673777009259156
root_mean_squared_error
0.445668284952721
root_mean_squared_error
0.3856968181280078
root_mean_squared_error
0.414785091814614
root_mean_squared_error
0.41454076805900664
root_mean_squared_error
0.37861441915375216
root_mean_squared_error
0.41180806226944644
root_mean_squared_error
0.37868579160457205
root_mean_squared_error
0.37626730868956576
root_mean_squared_error
0.4110322706946224
root_relative_squared_error
0.7685601676221241
root_relative_squared_error
0.9339722268056815
root_relative_squared_error
0.8082920150737148
root_relative_squared_error
0.8692513443916957
root_relative_squared_error
0.8687393232095953
root_relative_squared_error
0.7934496667073428
root_relative_squared_error
0.8630124824231771
root_relative_squared_error
0.7935992395826752
root_relative_squared_error
0.7930266116632247
root_relative_squared_error
0.8662977659377958
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
usercpu_time_millis
440.3897649899591
usercpu_time_millis
485.29874201631173
usercpu_time_millis
427.7663740213029
usercpu_time_millis
456.37153001734987
usercpu_time_millis
429.4303290080279
usercpu_time_millis
427.8080540243536
usercpu_time_millis
448.72361700981855
usercpu_time_millis
521.6440339863766
usercpu_time_millis
504.3453380058054
usercpu_time_millis
426.7043440195266
usercpu_time_millis_testing
14.483148988801986
usercpu_time_millis_testing
19.195160013623536
usercpu_time_millis_testing
13.476654014084488
usercpu_time_millis_testing
16.45395701052621
usercpu_time_millis_testing
45.345268008532
usercpu_time_millis_testing
15.015987999504432
usercpu_time_millis_testing
14.642221009125933
usercpu_time_millis_testing
13.474677980411798
usercpu_time_millis_testing
17.61831998010166
usercpu_time_millis_testing
13.19843000965193
usercpu_time_millis_training
425.9066160011571
usercpu_time_millis_training
466.1035820026882
usercpu_time_millis_training
414.2897200072184
usercpu_time_millis_training
439.91757300682366
usercpu_time_millis_training
384.0850609994959
usercpu_time_millis_training
412.7920660248492
usercpu_time_millis_training
434.0813960006926
usercpu_time_millis_training
508.1693560059648
usercpu_time_millis_training
486.7270180257037
usercpu_time_millis_training
413.5059140098747
wall_clock_time_millis
440.4299259185791
wall_clock_time_millis
485.3236675262451
wall_clock_time_millis
427.78587341308594
wall_clock_time_millis
456.3908576965332
wall_clock_time_millis
429.45289611816406
wall_clock_time_millis
427.83355712890625
wall_clock_time_millis
448.7452507019043
wall_clock_time_millis
521.6758251190186
wall_clock_time_millis
504.3962001800537
wall_clock_time_millis
426.72133445739746
wall_clock_time_millis_testing
14.499187469482422
wall_clock_time_millis_testing
19.208431243896484
wall_clock_time_millis_testing
13.49020004272461
wall_clock_time_millis_testing
16.46566390991211
wall_clock_time_millis_testing
45.35865783691406
wall_clock_time_millis_testing
15.028238296508789
wall_clock_time_millis_testing
14.655351638793945
wall_clock_time_millis_testing
13.484716415405273
wall_clock_time_millis_testing
17.63296127319336
wall_clock_time_millis_testing
13.206958770751953
wall_clock_time_millis_training
425.9307384490967
wall_clock_time_millis_training
466.11523628234863
wall_clock_time_millis_training
414.2956733703613
wall_clock_time_millis_training
439.9251937866211
wall_clock_time_millis_training
384.09423828125
wall_clock_time_millis_training
412.80531883239746
wall_clock_time_millis_training
434.08989906311035
wall_clock_time_millis_training
508.1911087036133
wall_clock_time_millis_training
486.76323890686035
wall_clock_time_millis_training
413.5143756866455