10437711
10468
Nicolas Hug
9977
Supervised Classification
17374
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8260852
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
32266
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.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
21799632
description
https://api.openml.org/data/download/21799632/description.xml
-1
21799633
predictions
https://api.openml.org/data/download/21799633/predictions.arff
-1
21799634
trace
https://api.openml.org/data/download/21799634/trace.arff
area_under_roc_curve
0.9953570674291005 [0.995357,0.995357]
average_cost
0
f_measure
0.9724744613151382 [0.951736,0.980766]
kappa
0.9325023326829008
kb_relative_information_score
0.9168418927515245
mean_absolute_error
0.03315647202346341
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9724938343246772 [0.949512,0.981682]
number_of_instances
34465 [9844,24621]
precision
0.9724592907129305 [0.95397,0.979852]
predictive_accuracy
0.9724938343246773
prior_entropy
0.8629999933345911
relative_absolute_error
0.08124785694834352
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.14495007837511117
root_relative_squared_error
0.3208914092986358
total_cost
0
unweighted_recall
0.9655973485302525 [0.949512,0.981682]
area_under_roc_curve
0.9960110860243804 [0.996011,0.996011]
area_under_roc_curve
0.9960355783544392 [0.996036,0.996036]
area_under_roc_curve
0.99472881195182 [0.994729,0.994729]
area_under_roc_curve
0.9955877562297171 [0.995588,0.995588]
area_under_roc_curve
0.9960491862090578 [0.996049,0.996049]
area_under_roc_curve
0.9952749268556861 [0.995275,0.995275]
area_under_roc_curve
0.9959419765806106 [0.995942,0.995942]
area_under_roc_curve
0.997088261906177 [0.997088,0.997088]
area_under_roc_curve
0.9951065133112744 [0.995107,0.995107]
area_under_roc_curve
0.9951449016927212 [0.995145,0.995145]
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
0.975352129136489 [0.956875,0.982734]
f_measure
0.9704090513489991 [0.948223,0.979285]
f_measure
0.9690283744897963 [0.946096,0.978203]
f_measure
0.9744705541050188 [0.95533,0.982128]
f_measure
0.9755859302156581 [0.957099,0.982982]
f_measure
0.9700595817224865 [0.947368,0.979129]
f_measure
0.9704540040845081 [0.948485,0.979235]
f_measure
0.9755557986641199 [0.956923,0.983003]
f_measure
0.9703363867248224 [0.947799,0.979344]
f_measure
0.9735062305492104 [0.953261,0.981598]
kappa
0.939608844136836
kappa
0.927508484291175
kappa
0.9243007658608522
kappa
0.9374583001727784
kappa
0.9400821452457736
kappa
0.9264980146855698
kappa
0.9277204463461699
kappa
0.9399279294535439
kappa
0.9271447297184136
kappa
0.9348619847458902
kb_relative_information_score
0.9214030914710886
kb_relative_information_score
0.9133372137059738
kb_relative_information_score
0.9013195642239943
kb_relative_information_score
0.9265308192819006
kb_relative_information_score
0.9279383521260278
kb_relative_information_score
0.906566748409727
kb_relative_information_score
0.9126256324139629
kb_relative_information_score
0.9214341973716271
kb_relative_information_score
0.9155560050459296
kb_relative_information_score
0.9217054901093801
mean_absolute_error
0.0319441007889005
mean_absolute_error
0.03445079115409018
mean_absolute_error
0.03977500586022852
mean_absolute_error
0.028788884341437407
mean_absolute_error
0.028295387770162318
mean_absolute_error
0.03755570509320016
mean_absolute_error
0.03434817072224096
mean_absolute_error
0.03217409363174136
mean_absolute_error
0.03353150667373405
mean_absolute_error
0.030701807858270213
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.9753651693071725 [0.95542,0.983333]
precision
0.9704090513489991 [0.948223,0.979285]
precision
0.9691421589985025 [0.939,0.981201]
precision
0.9744705541050188 [0.95533,0.982128]
precision
0.9755697225630829 [0.963001,0.980598]
precision
0.9700329358974835 [0.952724,0.976951]
precision
0.9705357918818011 [0.942771,0.981633]
precision
0.9755528886993688 [0.965839,0.979435]
precision
0.9703113455476854 [0.954639,0.976575]
precision
0.9735085260431886 [0.963655,0.977447]
predictive_accuracy
0.975340876124166
predictive_accuracy
0.9704090513489991
predictive_accuracy
0.9689585146504207
predictive_accuracy
0.9744705541050189
predictive_accuracy
0.9756309834638816
predictive_accuracy
0.9701102727800348
predictive_accuracy
0.9704004643064422
predictive_accuracy
0.9756239117817759
predictive_accuracy
0.9704004643064422
predictive_accuracy
0.973592571096924
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
0.07828996931465125
relative_absolute_error
0.08440774337138683
relative_absolute_error
0.09745258018107888
relative_absolute_error
0.07053552850417144
relative_absolute_error
0.06932641456085054
relative_absolute_error
0.092035118234673
relative_absolute_error
0.08417463993076661
relative_absolute_error
0.07884678250993354
relative_absolute_error
0.08217329893408408
relative_absolute_error
0.07523875558298927
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.14001739621036283
root_mean_squared_error
0.14934312706363034
root_mean_squared_error
0.15390354421730817
root_mean_squared_error
0.13929542268000486
root_mean_squared_error
0.14118595405664483
root_mean_squared_error
0.15027204544001693
root_mean_squared_error
0.1479534458854495
root_mean_squared_error
0.13217786401810144
root_mean_squared_error
0.14608253891375655
root_mean_squared_error
0.1479562488298329
root_relative_squared_error
0.3100227003383399
root_relative_squared_error
0.33057070894495794
root_relative_squared_error
0.34066518306785293
root_relative_squared_error
0.30833013566468065
root_relative_squared_error
0.3125148230336032
root_relative_squared_error
0.33269930176120155
root_relative_squared_error
0.3275659687410137
root_relative_squared_error
0.2926391461455337
root_relative_squared_error
0.323423818141281
root_relative_squared_error
0.32757217440379344
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
0.9702344701583435 [0.958333,0.982136]
unweighted_recall
0.9637542421455876 [0.948223,0.979285]
unweighted_recall
0.9642614439995547 [0.953299,0.975223]
unweighted_recall
0.9687291500863893 [0.95533,0.982128]
unweighted_recall
0.9683233886032157 [0.951269,0.985378]
unweighted_recall
0.961694586990549 [0.942073,0.981316]
unweighted_recall
0.9655581918329337 [0.954268,0.976848]
unweighted_recall
0.9673834974539834 [0.948171,0.986596]
unweighted_recall
0.9615926307516527 [0.941057,0.982128]
unweighted_recall
0.9644366732050749 [0.943089,0.985784]
usercpu_time_millis
6755.271137999999
usercpu_time_millis
6837.564277000002
usercpu_time_millis
6672.142913999998
usercpu_time_millis
6552.710294
usercpu_time_millis
7415.171051000002
usercpu_time_millis
6496.336396999994
usercpu_time_millis
7082.229839999996
usercpu_time_millis
6970.414201000004
usercpu_time_millis
6394.678522999996
usercpu_time_millis
7021.876461000004
usercpu_time_millis_testing
23.035302000000257
usercpu_time_millis_testing
22.36161000000081
usercpu_time_millis_testing
23.238478999999757
usercpu_time_millis_testing
20.377478000000337
usercpu_time_millis_testing
25.156152000000986
usercpu_time_millis_testing
23.14769599999522
usercpu_time_millis_testing
22.427536999998665
usercpu_time_millis_testing
23.17978300000334
usercpu_time_millis_testing
21.63527899999451
usercpu_time_millis_testing
23.40128100000527
usercpu_time_millis_training
6732.235835999999
usercpu_time_millis_training
6815.202667000001
usercpu_time_millis_training
6648.904434999999
usercpu_time_millis_training
6532.332816
usercpu_time_millis_training
7390.014899000001
usercpu_time_millis_training
6473.188700999998
usercpu_time_millis_training
7059.802302999998
usercpu_time_millis_training
6947.234418000001
usercpu_time_millis_training
6373.043244000001
usercpu_time_millis_training
6998.475179999999
wall_clock_time_millis
116780.32660484314
wall_clock_time_millis
112580.87682723999
wall_clock_time_millis
114499.29237365723
wall_clock_time_millis
113917.09446907043
wall_clock_time_millis
116159.70420837402
wall_clock_time_millis
114840.99555015564
wall_clock_time_millis
113706.55012130737
wall_clock_time_millis
114703.9110660553
wall_clock_time_millis
112532.77087211609
wall_clock_time_millis
114371.72889709473
wall_clock_time_millis_testing
23.022890090942383
wall_clock_time_millis_testing
22.34935760498047
wall_clock_time_millis_testing
23.225069046020508
wall_clock_time_millis_testing
20.366907119750977
wall_clock_time_millis_testing
25.142431259155273
wall_clock_time_millis_testing
23.136615753173828
wall_clock_time_millis_testing
22.4149227142334
wall_clock_time_millis_testing
23.16904067993164
wall_clock_time_millis_testing
21.62337303161621
wall_clock_time_millis_testing
23.387908935546875
wall_clock_time_millis_training
116757.3037147522
wall_clock_time_millis_training
112558.52746963501
wall_clock_time_millis_training
114476.0673046112
wall_clock_time_millis_training
113896.72756195068
wall_clock_time_millis_training
116134.56177711487
wall_clock_time_millis_training
114817.85893440247
wall_clock_time_millis_training
113684.13519859314
wall_clock_time_millis_training
114680.74202537537
wall_clock_time_millis_training
112511.14749908447
wall_clock_time_millis_training
114348.34098815918
weighted_recall
0.975340876124166 [0.958333,0.982136]
weighted_recall
0.9704090513489991 [0.948223,0.979285]
weighted_recall
0.9689585146504207 [0.953299,0.975223]
weighted_recall
0.9744705541050188 [0.95533,0.982128]
weighted_recall
0.9756309834638817 [0.951269,0.985378]
weighted_recall
0.9701102727800348 [0.942073,0.981316]
weighted_recall
0.9704004643064422 [0.954268,0.976848]
weighted_recall
0.975623911781776 [0.948171,0.986596]
weighted_recall
0.9704004643064422 [0.941057,0.982128]
weighted_recall
0.973592571096924 [0.943089,0.985784]