10418904
10580
Thomas Fan
9978
Supervised Classification
17373
sklearn.model_selection._search_successive_halving.HalvingRandomSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8255505
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
145
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
false
17373
max_resources
"auto"
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
"n_samples"
17373
return_train_score
true
17373
scoring
null
17373
verbose
1
17373
openml-python
Sklearn_0.23.dev0.
1487
ozone-level-8hr
https://www.openml.org/data/download/1592279/phpdReP6S
-1
21760279
description
https://api.openml.org/data/download/21760279/description.xml
-1
21760280
predictions
https://api.openml.org/data/download/21760280/predictions.arff
-1
21760281
trace
https://api.openml.org/data/download/21760281/trace.arff
area_under_roc_curve
0.8879554549283909 [0.887955,0.887955]
average_cost
0
f_measure
0.9130580369518223 [0.967702,0.102273]
kappa
0.09184691877767215
kb_relative_information_score
-0.06920341706817967
mean_absolute_error
0.09501619256798591
mean_prior_absolute_error
0.11860993329831554
number_of_instances
2534 [2374,160]
precision
0.9161939324942497 [0.940032,0.5625]
predictive_accuracy
0.9376479873717443
prior_entropy
0.33979186786586124
recall
0.9376479873717443 [0.997051,0.05625]
relative_absolute_error
0.8010812410543299
root_mean_prior_squared_error
0.24321713805631198
root_mean_squared_error
0.2162851371134303
root_relative_squared_error
0.8892676677387508
total_cost
0
area_under_roc_curve
0.8776260504201681 [0.877626,0.877626]
area_under_roc_curve
0.9332983193277311 [0.933298,0.933298]
area_under_roc_curve
0.8346901260504201 [0.83469,0.83469]
area_under_roc_curve
0.9288340336134453 [0.928834,0.928834]
area_under_roc_curve
0.9224683544303798 [0.922468,0.922468]
area_under_roc_curve
0.8705168776371308 [0.870517,0.870517]
area_under_roc_curve
0.845464135021097 [0.845464,0.845464]
area_under_roc_curve
0.9074367088607594 [0.907437,0.907437]
area_under_roc_curve
0.9377637130801688 [0.937764,0.937764]
area_under_roc_curve
0.868539029535865 [0.868539,0.868539]
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
0.9290241383761457 [0.971311,0.3]
f_measure
0.9157932172339726 [0.96945,0.117647]
f_measure
0.9154640881062044 [0.969325,0.117647]
f_measure
0.9210892368501065 [0.9625,0.307692]
kappa
0.2819063004846525
kappa
0
kappa
0
kappa
0.11105926271581884
kappa
0.11103302881236884
kappa
0
kappa
0
kappa
0
kappa
0.2722914669223389
kappa
0
kb_relative_information_score
-0.19577515660787312
kb_relative_information_score
-0.021727616832052387
kb_relative_information_score
-0.23143786184502638
kb_relative_information_score
0.03560122233638224
kb_relative_information_score
-0.03857438831056675
kb_relative_information_score
-0.12886611257803213
kb_relative_information_score
-0.030663643652974963
kb_relative_information_score
-0.04902445326483762
kb_relative_information_score
0.013753635925500121
kb_relative_information_score
-0.045169688468246046
mean_absolute_error
0.10266433425274735
mean_absolute_error
0.09468292234489074
mean_absolute_error
0.1015259031081293
mean_absolute_error
0.09254126925167204
mean_absolute_error
0.09285922653716999
mean_absolute_error
0.0981073805416168
mean_absolute_error
0.09537779023472784
mean_absolute_error
0.09691314834550921
mean_absolute_error
0.07881958754557016
mean_absolute_error
0.09662550320681139
mean_prior_absolute_error
0.11847971882063642
mean_prior_absolute_error
0.11847971882063642
mean_prior_absolute_error
0.11847971882063642
mean_prior_absolute_error
0.11847971882063642
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
mean_prior_absolute_error
0.11869708607124604
number_of_instances
254 [238,16]
number_of_instances
254 [238,16]
number_of_instances
254 [238,16]
number_of_instances
254 [238,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
number_of_instances
253 [237,16]
precision
0.9355275590551181 [0.948,0.75]
precision
0.9444461734773272 [0.940711,1]
precision
0.944240542066629 [0.940476,1]
precision
0.915795637534768 [0.950617,0.4]
predictive_accuracy
0.9448818897637795
predictive_accuracy
0.937007874015748
predictive_accuracy
0.937007874015748
predictive_accuracy
0.9409448818897639
predictive_accuracy
0.9407114624505928
predictive_accuracy
0.9367588932806323
predictive_accuracy
0.9367588932806323
predictive_accuracy
0.9367588932806323
predictive_accuracy
0.9288537549407114
predictive_accuracy
0.9367588932806323
prior_entropy
0.3392127388048247
prior_entropy
0.3392127388048247
prior_entropy
0.3392127388048247
prior_entropy
0.3392127388048247
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
prior_entropy
0.3401794799383073
recall
0.9448818897637795 [0.995798,0.1875]
recall
0.937007874015748 [1,0]
recall
0.937007874015748 [1,0]
recall
0.9409448818897638 [1,0.0625]
recall
0.9407114624505929 [1,0.0625]
recall
0.9367588932806324 [1,0]
recall
0.9367588932806324 [1,0]
recall
0.9367588932806324 [1,0]
recall
0.9288537549407114 [0.974684,0.25]
recall
0.9367588932806324 [1,0]
relative_absolute_error
0.866513993067188
relative_absolute_error
0.7991487765786222
relative_absolute_error
0.8569053346744256
relative_absolute_error
0.7810726609823242
relative_absolute_error
0.7823210291904953
relative_absolute_error
0.8265357119443472
relative_absolute_error
0.8035394413766723
relative_absolute_error
0.8164745365976266
relative_absolute_error
0.6640397852585862
relative_absolute_error
0.8140511819204513
root_mean_prior_squared_error
0.24294929875723142
root_mean_prior_squared_error
0.24294929875723142
root_mean_prior_squared_error
0.24294929875723142
root_mean_prior_squared_error
0.24294929875723142
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_prior_squared_error
0.24339623870807886
root_mean_squared_error
0.21646353503471252
root_mean_squared_error
0.22068024911994402
root_mean_squared_error
0.22248463422338086
root_mean_squared_error
0.2063302930479945
root_mean_squared_error
0.19878280437664145
root_mean_squared_error
0.22106047312323415
root_mean_squared_error
0.21874156026080202
root_mean_squared_error
0.21565051137717317
root_mean_squared_error
0.22065139698038014
root_mean_squared_error
0.22077219353835242
root_relative_squared_error
0.8909823413444591
root_relative_squared_error
0.9083386955582866
root_relative_squared_error
0.9157656982813522
root_relative_squared_error
0.849273054515672
root_relative_squared_error
0.8167045038648061
root_relative_squared_error
0.9082329057203161
root_relative_squared_error
0.8987055897899604
root_relative_squared_error
0.8860059322273137
root_relative_squared_error
0.9065522053733208
root_relative_squared_error
0.9070485012841101
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
wall_clock_time_millis
7667.74845123291
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
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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
1.2731552124023438
wall_clock_time_millis_testing
1.352071762084961
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
1.331329345703125
wall_clock_time_millis_testing
1.407623291015625
wall_clock_time_millis_testing
1.3196468353271484
wall_clock_time_millis_testing
1.28936767578125
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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wall_clock_time_millis_training
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