10437680
10468
Nicolas Hug
37
Supervised Classification
17374
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8260821
l2_regularization
0.0
17370
learning_rate
0.1
17370
loss
"auto"
17370
max_bins
255
17370
max_depth
null
17370
max_iter
100
17370
max_leaf_nodes
31
17370
min_samples_leaf
20
17370
n_iter_no_change
null
17370
random_state
48035
17370
scoring
null
17370
tol
1e-07
17370
validation_fraction
0.1
17370
verbose
0
17370
warm_start
false
17370
cv
null
17374
error_score
NaN
17374
iid
"deprecated"
17374
n_iter
100
17374
n_jobs
null
17374
param_distributions
{"l2_regularization": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "learning_rate": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]}
17374
pre_dispatch
"2*n_jobs"
17374
random_state
0
17374
refit
true
17374
return_train_score
false
17374
scoring
null
17374
verbose
0
17374
openml-python
Sklearn_0.23.dev0.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
21799539
description
https://api.openml.org/data/download/21799539/description.xml
-1
21799540
predictions
https://api.openml.org/data/download/21799540/predictions.arff
-1
21799541
trace
https://api.openml.org/data/download/21799541/trace.arff
area_under_roc_curve
0.8204888059701494 [0.820489,0.820489]
average_cost
0
f_measure
0.7523980180593223 [0.821497,0.623482]
kappa
0.4468744191809677
kb_relative_information_score
0.29512537832262326
mean_absolute_error
0.3279461476381202
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7578125 [0.856,0.574627]
number_of_instances
768 [500,268]
precision
0.7518924705286875 [0.789668,0.681416]
predictive_accuracy
0.7578125
prior_entropy
0.9331348051619819
relative_absolute_error
0.7215674256878779
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.403489910164251
root_relative_squared_error
0.8465280492269445
total_cost
0
unweighted_recall
0.7153134328358208 [0.856,0.574627]
area_under_roc_curve
0.8911111111111112 [0.891111,0.891111]
area_under_roc_curve
0.7555555555555555 [0.755556,0.755556]
area_under_roc_curve
0.8570370370370372 [0.857037,0.857037]
area_under_roc_curve
0.8007407407407409 [0.800741,0.800741]
area_under_roc_curve
0.8037037037037036 [0.803704,0.803704]
area_under_roc_curve
0.8444444444444444 [0.844444,0.844444]
area_under_roc_curve
0.8111111111111111 [0.811111,0.811111]
area_under_roc_curve
0.8800000000000001 [0.88,0.88]
area_under_roc_curve
0.8603846153846155 [0.860385,0.860385]
area_under_roc_curve
0.7553846153846154 [0.755385,0.755385]
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
0.8164678458796105 [0.862745,0.730769]
f_measure
0.6776525361431022 [0.773585,0.5]
f_measure
0.7640300875594993 [0.823529,0.653846]
f_measure
0.7000230043708305 [0.796296,0.521739]
f_measure
0.7142857142857143 [0.78,0.592593]
f_measure
0.7937980386959977 [0.836735,0.714286]
f_measure
0.7662575956153937 [0.844037,0.622222]
f_measure
0.785516663349601 [0.867257,0.634146]
f_measure
0.7781321991848308 [0.851852,0.636364]
f_measure
0.7148339598997493 [0.770833,0.607143]
kappa
0.5938206480783723
kappa
0.2786885245901639
kappa
0.4777694046721929
kappa
0.32670906200317973
kappa
0.37259259259259264
kappa
0.5513474144209761
kappa
0.47492980344965907
kappa
0.5189504373177843
kappa
0.4950166112956811
kappa
0.37982195845697325
kb_relative_information_score
0.44593539042143476
kb_relative_information_score
0.17721191795742647
kb_relative_information_score
0.3544746504172989
kb_relative_information_score
0.27410200978019583
kb_relative_information_score
0.2706477555054082
kb_relative_information_score
0.3391155431627225
kb_relative_information_score
0.21263404419510998
kb_relative_information_score
0.2880439218661381
kb_relative_information_score
0.2965426249848237
kb_relative_information_score
0.29252089531204317
mean_absolute_error
0.26423293686750576
mean_absolute_error
0.37667417020586397
mean_absolute_error
0.3006192273461274
mean_absolute_error
0.33324969538986504
mean_absolute_error
0.332229709020855
mean_absolute_error
0.31111349650729203
mean_absolute_error
0.37063640562863187
mean_absolute_error
0.3435470345012754
mean_absolute_error
0.3322643294327834
mean_absolute_error
0.3147795570814949
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
0.8159440559440558 [0.846154,0.76]
precision
0.6757884972170686 [0.732143,0.571429]
precision
0.7629170829170829 [0.807692,0.68]
precision
0.7028778843660877 [0.741379,0.631579]
precision
0.7142857142857143 [0.78,0.592593]
precision
0.7964808180325421 [0.854167,0.689655]
precision
0.7790006603565925 [0.779661,0.777778]
precision
0.8306534735106165 [0.777778,0.928571]
precision
0.7878604557370438 [0.793103,0.777778]
precision
0.7230358504958048 [0.804348,0.566667]
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.6883116883116882
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7894736842105263
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
relative_absolute_error
0.5807306530331169
relative_absolute_error
0.827853784761302
relative_absolute_error
0.6607003739982901
relative_absolute_error
0.7324155554607655
relative_absolute_error
0.7301738313321151
relative_absolute_error
0.6837646590768922
relative_absolute_error
0.8145839970983265
relative_absolute_error
0.7550470280453939
relative_absolute_error
0.7344050671705111
relative_absolute_error
0.6957584106514976
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
0.35038188545444743
root_mean_squared_error
0.4375288269719654
root_mean_squared_error
0.3913699939690282
root_mean_squared_error
0.4169684721219869
root_mean_squared_error
0.40808567312073263
root_mean_squared_error
0.38594500796804265
root_mean_squared_error
0.41701713965281184
root_mean_squared_error
0.38940589324695796
root_mean_squared_error
0.3839495283429208
root_mean_squared_error
0.44567862984918083
root_relative_squared_error
0.734283683266759
root_relative_squared_error
0.9169146349779749
root_relative_squared_error
0.8201811013116107
root_relative_squared_error
0.8738269820048974
root_relative_squared_error
0.855211595082427
root_relative_squared_error
0.8088121382805805
root_relative_squared_error
0.8739289729332905
root_relative_squared_error
0.8160650006443683
root_relative_squared_error
0.8092177727900582
root_relative_squared_error
0.9393189510694406
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
0.7918518518518518 [0.88,0.703704]
unweighted_recall
0.6322222222222222 [0.82,0.444444]
unweighted_recall
0.7348148148148148 [0.84,0.62963]
unweighted_recall
0.6522222222222223 [0.86,0.444444]
unweighted_recall
0.6862962962962963 [0.78,0.592593]
unweighted_recall
0.7803703703703704 [0.82,0.740741]
unweighted_recall
0.7192592592592593 [0.92,0.518519]
unweighted_recall
0.7307407407407407 [0.98,0.481481]
unweighted_recall
0.7292307692307692 [0.92,0.538462]
unweighted_recall
0.696923076923077 [0.74,0.653846]
usercpu_time_millis
1708.6101490000005
usercpu_time_millis
1707.9313399999994
usercpu_time_millis
1702.1838589999998
usercpu_time_millis
1697.2485899999983
usercpu_time_millis
1707.041380999998
usercpu_time_millis
1794.5940029999986
usercpu_time_millis
1853.6252150000012
usercpu_time_millis
1796.680316999998
usercpu_time_millis
1728.999377000001
usercpu_time_millis
1819.497646000002
usercpu_time_millis_testing
2.062758000000109
usercpu_time_millis_testing
2.052953999999829
usercpu_time_millis_testing
1.9717749999994538
usercpu_time_millis_testing
2.1726259999983455
usercpu_time_millis_testing
2.0098819999994078
usercpu_time_millis_testing
2.1678559999998015
usercpu_time_millis_testing
1.896800000000809
usercpu_time_millis_testing
2.177072999998586
usercpu_time_millis_testing
1.985825000001995
usercpu_time_millis_testing
2.35933700000146
usercpu_time_millis_training
1706.5473910000005
usercpu_time_millis_training
1705.8783859999996
usercpu_time_millis_training
1700.2120840000002
usercpu_time_millis_training
1695.0759639999999
usercpu_time_millis_training
1705.0314989999986
usercpu_time_millis_training
1792.4261469999988
usercpu_time_millis_training
1851.7284150000003
usercpu_time_millis_training
1794.5032439999995
usercpu_time_millis_training
1727.013551999999
usercpu_time_millis_training
1817.1383090000006
wall_clock_time_millis
7094.270706176758
wall_clock_time_millis
6961.497783660889
wall_clock_time_millis
7040.926456451416
wall_clock_time_millis
7050.58217048645
wall_clock_time_millis
7101.683139801025
wall_clock_time_millis
7160.791873931885
wall_clock_time_millis
7170.718431472778
wall_clock_time_millis
7163.995265960693
wall_clock_time_millis
7079.31661605835
wall_clock_time_millis
7195.768117904663
wall_clock_time_millis_testing
2.0723342895507812
wall_clock_time_millis_testing
2.0532608032226562
wall_clock_time_millis_testing
1.9719600677490234
wall_clock_time_millis_testing
2.1729469299316406
wall_clock_time_millis_testing
2.010345458984375
wall_clock_time_millis_testing
2.1681785583496094
wall_clock_time_millis_testing
1.8970966339111328
wall_clock_time_millis_testing
2.1774768829345703
wall_clock_time_millis_testing
1.989126205444336
wall_clock_time_millis_testing
2.3593902587890625
wall_clock_time_millis_training
7092.198371887207
wall_clock_time_millis_training
6959.444522857666
wall_clock_time_millis_training
7038.954496383667
wall_clock_time_millis_training
7048.409223556519
wall_clock_time_millis_training
7099.672794342041
wall_clock_time_millis_training
7158.623695373535
wall_clock_time_millis_training
7168.821334838867
wall_clock_time_millis_training
7161.817789077759
wall_clock_time_millis_training
7077.327489852905
wall_clock_time_millis_training
7193.408727645874
weighted_recall
0.8181818181818182 [0.88,0.703704]
weighted_recall
0.6883116883116883 [0.82,0.444444]
weighted_recall
0.7662337662337663 [0.84,0.62963]
weighted_recall
0.7142857142857143 [0.86,0.444444]
weighted_recall
0.7142857142857143 [0.78,0.592593]
weighted_recall
0.7922077922077922 [0.82,0.740741]
weighted_recall
0.7792207792207793 [0.92,0.518519]
weighted_recall
0.8051948051948052 [0.98,0.481481]
weighted_recall
0.7894736842105263 [0.92,0.538462]
weighted_recall
0.7105263157894737 [0.74,0.653846]