10418909
10580
Thomas Fan
14952
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.
4534
PhishingWebsites
https://www.openml.org/data/download/1798106/phpV5QYya
-1
21760294
description
https://api.openml.org/data/download/21760294/description.xml
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21760295
predictions
https://api.openml.org/data/download/21760295/predictions.arff
-1
21760296
trace
https://api.openml.org/data/download/21760296/trace.arff
area_under_roc_curve
0.9945437352393239 [0.994544,0.994544]
average_cost
0
f_measure
0.9672285813149772 [0.962773,0.970773]
kappa
0.9335488356637371
kb_relative_information_score
0.9033690030711419
mean_absolute_error
0.05140702715214534
mean_prior_absolute_error
0.4935162627341074
number_of_instances
11055 [4898,6157]
precision
0.9672858422033865 [0.969954,0.965163]
predictive_accuracy
0.9672546359113524
prior_entropy
0.990623923051704
recall
0.9672546359113523 [0.955696,0.97645]
relative_absolute_error
0.10416480880963792
root_mean_prior_squared_error
0.49674696272345925
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0.15388703428142067
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0.3097895826835485
total_cost
0
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
average_cost
0
average_cost
0
average_cost
0
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0
f_measure
0.9637653345831297 [0.958506,0.967949]
f_measure
0.9647620879755082 [0.960486,0.968163]
f_measure
0.9710479039766345 [0.967146,0.974152]
f_measure
0.9710045422247954 [0.966736,0.9744]
f_measure
0.970153178724878 [0.966223,0.973279]
f_measure
0.9719102711590358 [0.967942,0.97506]
f_measure
0.9619744062128994 [0.956879,0.966019]
f_measure
0.9637602757968963 [0.958763,0.967742]
f_measure
0.9646705022493209 [0.959835,0.968523]
f_measure
0.9692242828745896 [0.965235,0.972403]
kappa
0.926470588235294
kappa
0.9286524789847856
kappa
0.9412994009195189
kappa
0.9411518227105545
kappa
0.9395029355115679
kappa
0.9430081640326694
kappa
0.922899292288268
kappa
0.9265109319145399
kappa
0.9283630470016208
kappa
0.9376379782554569
kb_relative_information_score
0.9270943470884935
kb_relative_information_score
0.888891395683934
kb_relative_information_score
0.9146211105664501
kb_relative_information_score
0.9146337125790255
kb_relative_information_score
0.9107717253865489
kb_relative_information_score
0.911007967871442
kb_relative_information_score
0.885162161112133
kb_relative_information_score
0.8811472064126863
kb_relative_information_score
0.8948868247926801
kb_relative_information_score
0.9054401834182392
mean_absolute_error
0.03590675129445283
mean_absolute_error
0.059088195531905724
mean_absolute_error
0.04578861656800945
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.06113077598249124
mean_absolute_error
0.06418137755428928
mean_absolute_error
0.05610968534851812
mean_absolute_error
0.05105841558309082
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.4935140463169444
mean_prior_absolute_error
0.4935140463169444
mean_prior_absolute_error
0.4935140463169444
mean_prior_absolute_error
0.4934566542682659
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.4935596990829386
number_of_instances
1106 [490,616]
number_of_instances
1106 [490,616]
number_of_instances
1106 [490,616]
number_of_instances
1106 [490,616]
number_of_instances
1106 [490,616]
number_of_instances
1105 [489,616]
number_of_instances
1105 [489,616]
number_of_instances
1105 [490,615]
number_of_instances
1105 [490,615]
number_of_instances
1105 [490,615]
precision
0.9641083159750039 [0.974684,0.955696]
precision
0.9648644083327258 [0.953722,0.973727]
precision
0.9710869102332476 [0.97314,0.969453]
precision
0.9714672965888503 [0.985169,0.960568]
precision
0.9701580786760765 [0.969199,0.970921]
precision
0.9720708556829131 [0.979079,0.966507]
precision
0.9619834263039333 [0.960825,0.962903]
precision
0.9638800904977376 [0.96875,0.96]
precision
0.9647651480230666 [0.968815,0.961538]
precision
0.9692242290217685 [0.967213,0.970827]
predictive_accuracy
0.9638336347197106
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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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
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prior_entropy
0.9907497997579492
recall
0.9638336347197106 [0.942857,0.980519]
recall
0.9647377938517179 [0.967347,0.962662]
recall
0.9710669077757685 [0.961224,0.978896]
recall
0.9710669077757685 [0.94898,0.988636]
recall
0.9701627486437613 [0.963265,0.975649]
recall
0.971945701357466 [0.957055,0.983766]
recall
0.9619909502262444 [0.952965,0.969156]
recall
0.9638009049773756 [0.94898,0.97561]
recall
0.9647058823529412 [0.95102,0.97561]
recall
0.9692307692307692 [0.963265,0.973984]
relative_absolute_error
0.07275730359130003
relative_absolute_error
0.11972951119198363
relative_absolute_error
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relative_absolute_error
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relative_absolute_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_squared_error
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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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wall_clock_time_millis
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