10418865
10580
Thomas Fan
14954
Supervised Classification
17373
sklearn.model_selection._search_successive_halving.HalvingRandomSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8255503
l2_regularization
0.0
17372
learning_rate
0.1
17372
loss
"auto"
17372
max_bins
255
17372
max_depth
null
17372
max_iter
100
17372
max_leaf_nodes
31
17372
min_samples_leaf
20
17372
n_iter_no_change
null
17372
random_state
53843
17372
scoring
null
17372
tol
1e-07
17372
validation_fraction
0.1
17372
verbose
0
17372
warm_start
false
17372
aggressive_elimination
false
17373
cv
5
17373
error_score
NaN
17373
force_exhaust_resources
true
17373
max_resources
100
17373
min_resources
"auto"
17373
n_candidates
100
17373
n_jobs
3
17373
param_distributions
{"l2_regularization": [0, 0.01, 0.1], "learning_rate": [0.01, 0.1, 1], "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]}
17373
pre_dispatch
"2*n_jobs"
17373
random_state
0
17373
ratio
3
17373
refit
{"oml-python:serialized_object": "function", "value": "sklearn.model_selection._search_successive_halving._refit_callable"}
17373
resource
"max_iter"
17373
return_train_score
true
17373
scoring
null
17373
verbose
1
17373
openml-python
Sklearn_0.23.dev0.
6332
cylinder-bands
https://www.openml.org/data/download/1854224/phpAz9Len
-1
21760161
description
https://api.openml.org/data/download/21760161/description.xml
-1
21760162
predictions
https://api.openml.org/data/download/21760162/predictions.arff
-1
21760163
trace
https://api.openml.org/data/download/21760163/trace.arff
area_under_roc_curve
0.8985042735042735 [0.898504,0.898504]
average_cost
0
f_measure
0.8129198966408269 [0.767442,0.846154]
kappa
0.6145280109645365
kb_relative_information_score
0.6157161521102481
mean_absolute_error
0.18646122510975086
mean_prior_absolute_error
0.48794587945879536
number_of_instances
540 [228,312]
precision
0.814969958534315 [0.816832,0.813609]
predictive_accuracy
0.8148148148148148
prior_entropy
0.9824743303740947
recall
0.8148148148148148 [0.723684,0.88141]
relative_absolute_error
0.3821350542329902
root_mean_prior_squared_error
0.49391365607219145
root_mean_squared_error
0.3980055989574712
root_relative_squared_error
0.805820195624026
total_cost
0
area_under_roc_curve
0.9495091164095372 [0.949509,0.949509]
area_under_roc_curve
0.8863955119214586 [0.886396,0.886396]
area_under_roc_curve
0.9298737727910238 [0.929874,0.929874]
area_under_roc_curve
0.8541374474053295 [0.854137,0.854137]
area_under_roc_curve
0.8569424964936886 [0.856942,0.856942]
area_under_roc_curve
0.8793828892005608 [0.879383,0.879383]
area_under_roc_curve
0.9635343618513323 [0.963534,0.963534]
area_under_roc_curve
0.906030855539972 [0.906031,0.906031]
area_under_roc_curve
0.9488636363636362 [0.948864,0.948864]
area_under_roc_curve
0.8196022727272727 [0.819602,0.819602]
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
0.9071134626690183 [0.888889,0.920635]
f_measure
0.694553376906318 [0.6,0.764706]
f_measure
0.8341980860140665 [0.816327,0.847458]
f_measure
0.7282651072124757 [0.631579,0.8]
f_measure
0.8268301746562616 [0.769231,0.869565]
f_measure
0.7388994107744108 [0.681818,0.78125]
f_measure
0.9253998316498316 [0.909091,0.9375]
f_measure
0.7938912078446962 [0.744186,0.830769]
f_measure
0.8888888888888888 [0.863636,0.90625]
f_measure
0.7777777777777778 [0.727273,0.8125]
kappa
0.8095909732016926
kappa
0.37300435413642963
kappa
0.6648275862068966
kappa
0.4449339207048458
kappa
0.6452554744525548
kappa
0.46382978723404245
kappa
0.8468085106382979
kappa
0.5763195435092725
kappa
0.7698863636363635
kappa
0.5397727272727273
kb_relative_information_score
0.8052702665535818
kb_relative_information_score
0.4493226554028664
kb_relative_information_score
0.6561880794456297
kb_relative_information_score
0.48534264838099905
kb_relative_information_score
0.6074859399095089
kb_relative_information_score
0.5025236622012205
kb_relative_information_score
0.8221754389586572
kb_relative_information_score
0.5794600352266105
kb_relative_information_score
0.7323970374662848
kb_relative_information_score
0.5171494186807845
mean_absolute_error
0.09530315511858689
mean_absolute_error
0.26215360414174965
mean_absolute_error
0.16688279733796849
mean_absolute_error
0.2497953535636702
mean_absolute_error
0.1946608234001386
mean_absolute_error
0.23913641176935865
mean_absolute_error
0.08855285546349345
mean_absolute_error
0.2031912569260763
mean_absolute_error
0.13221343416738693
mean_absolute_error
0.2327225592090754
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.48851988519885264
mean_prior_absolute_error
0.4856498564985656
mean_prior_absolute_error
0.4856498564985656
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [23,31]
number_of_instances
54 [22,32]
number_of_instances
54 [22,32]
precision
0.9074600168350168 [0.909091,0.90625]
precision
0.7040569981746453 [0.705882,0.702703]
precision
0.8402014652014652 [0.769231,0.892857]
precision
0.7528964862298195 [0.8,0.717949]
precision
0.8525219298245614 [0.9375,0.789474]
precision
0.7391374058040725 [0.714286,0.757576]
precision
0.9275292608625941 [0.952381,0.909091]
precision
0.7966230936819172 [0.8,0.794118]
precision
0.8888888888888888 [0.863636,0.90625]
precision
0.7777777777777778 [0.727273,0.8125]
predictive_accuracy
0.9074074074074074
predictive_accuracy
0.7037037037037037
predictive_accuracy
0.8333333333333333
predictive_accuracy
0.7407407407407408
predictive_accuracy
0.8333333333333333
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.7962962962962963
predictive_accuracy
0.8888888888888888
predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.9841440157771891
prior_entropy
0.9757955887617137
prior_entropy
0.9757955887617137
recall
0.9074074074074074 [0.869565,0.935484]
recall
0.7037037037037037 [0.521739,0.83871]
recall
0.8333333333333334 [0.869565,0.806452]
recall
0.7407407407407407 [0.521739,0.903226]
recall
0.8333333333333334 [0.652174,0.967742]
recall
0.7407407407407407 [0.652174,0.806452]
recall
0.9259259259259259 [0.869565,0.967742]
recall
0.7962962962962963 [0.695652,0.870968]
recall
0.8888888888888888 [0.863636,0.90625]
recall
0.7777777777777778 [0.727273,0.8125]
relative_absolute_error
0.19508551853481587
relative_absolute_error
0.5366283176682556
relative_absolute_error
0.3416090161202724
relative_absolute_error
0.5113309839209322
relative_absolute_error
0.3984706238127884
relative_absolute_error
0.4895121345408854
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.27224024139658615
relative_absolute_error
0.4791982455980871
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.49449439369385695
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
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root_mean_prior_squared_error
0.49449439369385695
root_mean_prior_squared_error
0.4915838450298872
root_mean_prior_squared_error
0.4915838450298872
root_mean_squared_error
0.2831994770037817
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
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root_mean_squared_error
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root_mean_squared_error
0.2562423552603627
root_mean_squared_error
0.43215663196088216
root_mean_squared_error
0.32730556309945086
root_mean_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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root_relative_squared_error
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root_relative_squared_error
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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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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_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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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_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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