10228519
8323
Heinrich Peters
12
Supervised Classification
12677
sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2)
8153743
l2_regularization
0.0
12677
learning_rate
0.1
12677
loss
"auto"
12677
max_bins
256
12677
max_depth
null
12677
max_iter
100
12677
max_leaf_nodes
31
12677
min_samples_leaf
20
12677
n_iter_no_change
null
12677
random_state
19911
12677
scoring
null
12677
tol
1e-07
12677
validation_fraction
0.1
12677
verbose
0
12677
openml-python
Sklearn_0.21.2.
12
mfeat-factors
https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff
-1
21378333
description
https://api.openml.org/data/download/21378333/description.xml
-1
21378334
predictions
https://api.openml.org/data/download/21378334/predictions.arff
area_under_roc_curve
0.998811111111111 [0.999819,0.999406,0.999814,0.996281,0.999669,0.996253,0.999536,0.999542,0.998397,0.999394]
average_cost
0
f_measure
0.9690099305768335 [0.979798,0.960591,0.977556,0.959799,0.967254,0.964286,0.965347,0.974874,0.965347,0.975248]
kappa
0.9655555555555555
kb_relative_information_score
0.9701384781895471
mean_absolute_error
0.0066468520645014215
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9692411952401075 [0.989796,0.946602,0.975124,0.964646,0.974619,0.984375,0.955882,0.979798,0.955882,0.965686]
predictive_accuracy
0.9690000000000001
prior_entropy
3.3219280948872383
recall
0.969 [0.97,0.975,0.98,0.955,0.96,0.945,0.975,0.97,0.975,0.985]
relative_absolute_error
0.03692695591389565
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.06958421947690882
root_relative_squared_error
0.23194739825635918
total_cost
0
area_under_roc_curve
0.9990555555555555 [0.999167,0.998611,0.999722,1,1,0.997778,0.999444,1,0.995833,1]
area_under_roc_curve
0.9993888888888889 [1,0.998611,1,0.9975,1,1,1,0.998333,1,0.999444]
area_under_roc_curve
0.9997500000000001 [1,0.999722,0.999444,0.999444,1,1,1,0.998889,1,1]
area_under_roc_curve
0.9980555555555556 [0.999722,0.999444,0.999444,0.988056,0.999722,0.999722,1,0.998889,0.999722,0.995833]
area_under_roc_curve
0.9955833333333333 [1,1,1,0.985278,0.997778,0.972778,1,1,1,1]
area_under_roc_curve
0.9999166666666666 [1,1,1,1,1,1,1,0.999722,1,0.999444]
area_under_roc_curve
0.9997499999999999 [1,1,1,0.999167,0.999722,0.998889,0.999722,1,1,1]
area_under_roc_curve
0.9989444444444443 [1,0.999167,1,1,0.999722,1,1,1,0.990556,1]
area_under_roc_curve
0.9991944444444445 [1,1,1,0.996944,1,0.995,1,1,1,1]
area_under_roc_curve
0.9993333333333334 [1,1,1,0.998611,0.999444,0.999444,0.996111,0.999722,1,1]
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
0.9605476013870795 [0.974359,0.930233,0.974359,0.974359,0.974359,0.974359,0.923077,1,0.904762,0.97561]
f_measure
0.9648337306681337 [1,0.947368,0.97561,0.9,1,0.95,0.952381,0.947368,1,0.97561]
f_measure
0.9599624295259724 [0.947368,0.95,0.926829,0.95,1,0.974359,1,0.923077,0.952381,0.97561]
f_measure
0.9701005092468507 [0.974359,0.952381,0.97561,0.974359,0.974359,0.974359,0.97561,0.974359,0.97561,0.95]
f_measure
0.9549436207780236 [0.97561,0.952381,0.974359,0.95,0.9,0.947368,0.952381,0.974359,0.947368,0.97561]
f_measure
0.9747144596952042 [0.97561,0.97561,0.97561,0.974359,0.947368,1,0.97561,0.97561,1,0.947368]
f_measure
0.9799686834346655 [1,0.974359,1,0.952381,0.97561,0.947368,0.974359,0.97561,1,1]
f_measure
0.9699754310729919 [0.974359,0.97561,0.974359,1,0.95,0.974359,0.97561,1,0.923077,0.952381]
f_measure
0.9849968730456535 [1,0.974359,1,0.95,0.97561,0.95,1,1,1,1]
f_measure
0.9699754310729919 [0.974359,0.97561,1,0.974359,0.974359,0.95,0.923077,0.97561,0.952381,1]
kappa
0.9555555555555555
kappa
0.961111111111111
kappa
0.9555555555555555
kappa
0.9666666666666667
kappa
0.95
kappa
0.9722222222222222
kappa
0.9777777777777777
kappa
0.9666666666666667
kappa
0.9833333333333333
kappa
0.9666666666666667
kb_relative_information_score
0.9680766808999541
kb_relative_information_score
0.9649411684195229
kb_relative_information_score
0.9656991208985398
kb_relative_information_score
0.9650642276569934
kb_relative_information_score
0.959897862386176
kb_relative_information_score
0.9771680203448877
kb_relative_information_score
0.9765352371815038
kb_relative_information_score
0.9701216806186198
kb_relative_information_score
0.9838569581121329
kb_relative_information_score
0.9700238253768103
mean_absolute_error
0.007011895765777883
mean_absolute_error
0.007419069477240215
mean_absolute_error
0.0074055181793384155
mean_absolute_error
0.00733221707147808
mean_absolute_error
0.008855255477786058
mean_absolute_error
0.005895663328585944
mean_absolute_error
0.006106354263369347
mean_absolute_error
0.006188025895409522
mean_absolute_error
0.0038215041322799278
mean_absolute_error
0.006433017053748895
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.9632950954461252 [1,0.869565,1,1,1,1,0.947368,1,0.863636,0.952381]
precision
0.9663852813852813 [1,1,0.952381,0.9,1,0.95,0.909091,1,1,0.952381]
precision
0.9613602187286397 [1,0.95,0.904762,0.95,1,1,1,0.947368,0.909091,0.952381]
precision
0.9716233766233765 [1,0.909091,0.952381,1,1,1,0.952381,1,0.952381,0.95]
precision
0.9572943722943722 [0.952381,0.909091,1,0.95,0.9,1,0.909091,1,1,0.952381]
precision
0.976190476190476 [0.952381,0.952381,0.952381,1,1,1,0.952381,0.952381,1,1]
precision
0.9813852813852812 [1,1,1,0.909091,0.952381,1,1,0.952381,1,1]
precision
0.9711221234905446 [1,0.952381,1,1,0.95,1,0.952381,1,0.947368,0.909091]
precision
0.9852380952380951 [1,1,1,0.95,0.952381,0.95,1,1,1,1]
precision
0.9711221234905446 [1,0.952381,1,1,1,0.95,0.947368,0.952381,0.909091,1]
predictive_accuracy
0.96
predictive_accuracy
0.965
predictive_accuracy
0.96
predictive_accuracy
0.97
predictive_accuracy
0.955
predictive_accuracy
0.975
predictive_accuracy
0.98
predictive_accuracy
0.97
predictive_accuracy
0.985
predictive_accuracy
0.97
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.96 [0.95,1,0.95,0.95,0.95,0.95,0.9,1,0.95,1]
recall
0.965 [1,0.9,1,0.9,1,0.95,1,0.9,1,1]
recall
0.96 [0.9,0.95,0.95,0.95,1,0.95,1,0.9,1,1]
recall
0.97 [0.95,1,1,0.95,0.95,0.95,1,0.95,1,0.95]
recall
0.955 [1,1,0.95,0.95,0.9,0.9,1,0.95,0.9,1]
recall
0.975 [1,1,1,0.95,0.9,1,1,1,1,0.9]
recall
0.98 [1,0.95,1,1,1,0.9,0.95,1,1,1]
recall
0.97 [0.95,1,0.95,1,0.95,0.95,1,1,0.9,1]
recall
0.985 [1,0.95,1,0.95,1,0.95,1,1,1,1]
recall
0.97 [0.95,1,1,0.95,0.95,0.95,0.9,1,1,1]
relative_absolute_error
0.038954976476543834
relative_absolute_error
0.04121705265133457
relative_absolute_error
0.04114176766299124
relative_absolute_error
0.04073453928598938
relative_absolute_error
0.04919586376547816
relative_absolute_error
0.03275368515881084
relative_absolute_error
0.033924190352051964
relative_absolute_error
0.03437792164116405
relative_absolute_error
0.021230578512666288
relative_absolute_error
0.03573898363193835
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.07495928961980021
root_mean_squared_error
0.07585730759541993
root_mean_squared_error
0.07434904665948079
root_mean_squared_error
0.0746467970953732
root_mean_squared_error
0.08086075789286672
root_mean_squared_error
0.056792577822121125
root_mean_squared_error
0.05911784048117533
root_mean_squared_error
0.07353656705875708
root_mean_squared_error
0.049292921858454776
root_mean_squared_error
0.06964400738343904
root_relative_squared_error
0.2498642987326675
root_relative_squared_error
0.2528576919847333
root_relative_squared_error
0.24783015553160279
root_relative_squared_error
0.24882265698457748
root_relative_squared_error
0.2695358596428892
root_relative_squared_error
0.18930859274040387
root_relative_squared_error
0.19705946827058454
root_relative_squared_error
0.2451218901958571
root_relative_squared_error
0.1643097395281827
root_relative_squared_error
0.23214669127813026
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
92177.23999999998
usercpu_time_millis
89402.59200000037
usercpu_time_millis
94918.51799999995
usercpu_time_millis
81742.09399999972
usercpu_time_millis
78711.26000000004
usercpu_time_millis
78527.57199999997
usercpu_time_millis
79373.90800000002
usercpu_time_millis
80046.34000000032
usercpu_time_millis
94916.04000000007
usercpu_time_millis
99726.27999999985
usercpu_time_millis_testing
199.34599999987768
usercpu_time_millis_testing
140.50400000041918
usercpu_time_millis_testing
155.22999999984677
usercpu_time_millis_testing
145.79000000003361
usercpu_time_millis_testing
151.810000000296
usercpu_time_millis_testing
174.96600000004037
usercpu_time_millis_testing
159.76799999998548
usercpu_time_millis_testing
172.2380000001067
usercpu_time_millis_testing
241.9159999999465
usercpu_time_millis_testing
166.47199999988516
usercpu_time_millis_training
91977.8940000001
usercpu_time_millis_training
89262.08799999995
usercpu_time_millis_training
94763.2880000001
usercpu_time_millis_training
81596.30399999968
usercpu_time_millis_training
78559.44999999975
usercpu_time_millis_training
78352.60599999993
usercpu_time_millis_training
79214.14000000004
usercpu_time_millis_training
79874.10200000022
usercpu_time_millis_training
94674.12400000013
usercpu_time_millis_training
99559.80799999998
wall_clock_time_millis
22134.081602096558
wall_clock_time_millis
20812.029361724854
wall_clock_time_millis
21057.067155838013
wall_clock_time_millis
17891.977310180664
wall_clock_time_millis
16782.99379348755
wall_clock_time_millis
16715.64292907715
wall_clock_time_millis
16815.00768661499
wall_clock_time_millis
16909.436464309692
wall_clock_time_millis
23569.89073753357
wall_clock_time_millis
22881.144762039185
wall_clock_time_millis_testing
30.38167953491211
wall_clock_time_millis_testing
17.762184143066406
wall_clock_time_millis_testing
20.725011825561523
wall_clock_time_millis_testing
19.37413215637207
wall_clock_time_millis_testing
19.938945770263672
wall_clock_time_millis_testing
23.69379997253418
wall_clock_time_millis_testing
21.481990814208984
wall_clock_time_millis_testing
23.14305305480957
wall_clock_time_millis_testing
39.444923400878906
wall_clock_time_millis_testing
22.942066192626953
wall_clock_time_millis_training
22103.699922561646
wall_clock_time_millis_training
20794.267177581787
wall_clock_time_millis_training
21036.34214401245
wall_clock_time_millis_training
17872.603178024292
wall_clock_time_millis_training
16763.054847717285
wall_clock_time_millis_training
16691.949129104614
wall_clock_time_millis_training
16793.52569580078
wall_clock_time_millis_training
16886.293411254883
wall_clock_time_millis_training
23530.44581413269
wall_clock_time_millis_training
22858.202695846558