10432916
10468
Nicolas Hug
2074
Supervised Classification
17371
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3)
8258466
cv
null
17371
error_score
NaN
17371
iid
"deprecated"
17371
n_iter
100
17371
n_jobs
-1
17371
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]}
17371
pre_dispatch
"2*n_jobs"
17371
random_state
0
17371
refit
true
17371
return_train_score
false
17371
scoring
null
17371
verbose
0
17371
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
49633
17372
scoring
null
17372
tol
1e-07
17372
validation_fraction
0.1
17372
verbose
0
17372
warm_start
false
17372
openml-python
Sklearn_0.23.dev0.
182
satimage
https://www.openml.org/data/download/3619/dataset_186_satimage.arff
-1
21788631
description
https://api.openml.org/data/download/21788631/description.xml
-1
21788632
predictions
https://api.openml.org/data/download/21788632/predictions.arff
-1
21788633
trace
https://api.openml.org/data/download/21788633/trace.arff
area_under_roc_curve
0.9926651349435793 [0.999358,0.999699,0.993533,0.966857,0.994934,0.991442]
average_cost
0
f_measure
0.9220900588887886 [0.981083,0.980728,0.922302,0.730703,0.917496,0.916146]
kappa
0.9051727245383101
kb_relative_information_score
0.9097392209817802
mean_absolute_error
0.026781552460340984
mean_prior_absolute_error
0.27012071805786425
weighted_recall
0.9233281493001555 [0.982364,0.97724,0.945428,0.6816,0.912306,0.92374]
number_of_instances
6430 [1531,703,1356,625,707,1508]
precision
0.9218650296725792 [0.979805,0.984241,0.900281,0.787431,0.922747,0.908676]
predictive_accuracy
0.9233281493001556
prior_entropy
2.48336197589723
relative_absolute_error
0.09914660620220897
root_mean_prior_squared_error
0.3675007345009808
root_mean_squared_error
0.14659744167634095
root_relative_squared_error
0.39890380593497754
total_cost
0
unweighted_recall
0.9037796939818499 [0.982364,0.97724,0.945428,0.6816,0.912306,0.92374]
area_under_roc_curve
0.991782269078642 [0.999813,0.999975,0.992255,0.969841,0.993618,0.987724]
area_under_roc_curve
0.9949598854797469 [0.99984,0.999726,0.997172,0.974302,0.998803,0.992651]
area_under_roc_curve
0.9941679815589342 [0.99952,0.999551,0.993336,0.974631,0.997612,0.993526]
area_under_roc_curve
0.9917049390159451 [0.998093,1,0.994678,0.962124,0.991037,0.991385]
area_under_roc_curve
0.99074422197042 [0.999053,0.999701,0.989866,0.952682,0.995026,0.992826]
area_under_roc_curve
0.9941347743853394 [0.99992,0.999651,0.994765,0.977403,0.99638,0.990928]
area_under_roc_curve
0.9959216011251196 [0.999053,0.999476,0.996215,0.983399,0.998104,0.994952]
area_under_roc_curve
0.9918809314443743 [0.999773,1,0.9914,0.95611,0.998301,0.99217]
area_under_roc_curve
0.9913126349234103 [0.998453,0.999508,0.993169,0.965604,0.988698,0.990331]
area_under_roc_curve
0.9917081127639081 [0.99976,0.999532,0.993387,0.958525,0.995612,0.990174]
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
0.9189209153330399 [0.983607,0.985714,0.933333,0.736842,0.905109,0.891803]
f_measure
0.9386088052347504 [0.986842,0.963504,0.935714,0.79661,0.943662,0.937705]
f_measure
0.9273918869981683 [0.977049,0.992806,0.918149,0.752137,0.937063,0.923588]
f_measure
0.919498939856002 [0.977346,0.992806,0.919708,0.684685,0.934307,0.917722]
f_measure
0.9064702831604741 [0.967105,0.958333,0.917563,0.695652,0.863014,0.919463]
f_measure
0.913245771559427 [0.987179,0.978417,0.911111,0.71875,0.897059,0.89701]
f_measure
0.9329415403397409 [0.977049,0.985507,0.927536,0.793388,0.929577,0.927632]
f_measure
0.9263208408888123 [0.987013,1,0.920863,0.720721,0.944444,0.910891]
f_measure
0.9163791850070361 [0.977199,0.971429,0.914286,0.683761,0.927536,0.921053]
f_measure
0.9205911589784088 [0.990228,0.979021,0.924188,0.719298,0.893617,0.914474]
kappa
0.9017797239660709
kappa
0.9249894559888489
kappa
0.911572577872516
kappa
0.9035580046856111
kappa
0.8867308794726031
kappa
0.8924186970615916
kappa
0.9173647826749673
kappa
0.911498758265761
kappa
0.8980089005407961
kappa
0.9038294715556593
kb_relative_information_score
0.9100661886982948
kb_relative_information_score
0.9247565883242318
kb_relative_information_score
0.9140228685554871
kb_relative_information_score
0.9084922540345914
kb_relative_information_score
0.8938629476007728
kb_relative_information_score
0.9041195517154129
kb_relative_information_score
0.9243191221291753
kb_relative_information_score
0.912361195708363
kb_relative_information_score
0.8999479822913328
kb_relative_information_score
0.9054551280386874
mean_absolute_error
0.02684866137180117
mean_absolute_error
0.02260861732858161
mean_absolute_error
0.02576435342953534
mean_absolute_error
0.026945352463824793
mean_absolute_error
0.030654950256271973
mean_absolute_error
0.029002912306405747
mean_absolute_error
0.022439398469489294
mean_absolute_error
0.02551519227771876
mean_absolute_error
0.029834333343922992
mean_absolute_error
0.02820175335585913
mean_prior_absolute_error
0.27009674714000104
mean_prior_absolute_error
0.27009674714000104
mean_prior_absolute_error
0.2701490224279501
mean_prior_absolute_error
0.2701490224279501
mean_prior_absolute_error
0.2701490224279501
mean_prior_absolute_error
0.270076046448163
mean_prior_absolute_error
0.2700901422499983
mean_prior_absolute_error
0.2701549829384404
mean_prior_absolute_error
0.2701549829384404
mean_prior_absolute_error
0.2700904644397545
number_of_instances
643 [153,70,136,63,70,151]
number_of_instances
643 [153,70,136,63,70,151]
number_of_instances
643 [153,70,135,63,71,151]
number_of_instances
643 [153,70,135,63,71,151]
number_of_instances
643 [153,70,135,63,71,151]
number_of_instances
643 [154,70,135,62,71,151]
number_of_instances
643 [153,70,136,62,71,151]
number_of_instances
643 [153,71,136,62,71,150]
number_of_instances
643 [153,71,136,62,71,150]
number_of_instances
643 [153,71,136,62,70,151]
precision
0.9197386266787503 [0.986842,0.985714,0.892617,0.823529,0.925373,0.883117]
precision
0.9391193457375504 [0.993377,0.985075,0.909722,0.854545,0.930556,0.928571]
precision
0.9278235295803224 [0.980263,1,0.883562,0.814815,0.930556,0.926667]
precision
0.9205143221011399 [0.967949,1,0.906475,0.791667,0.969697,0.878788]
precision
0.9067600618286484 [0.97351,0.932432,0.888889,0.769231,0.84,0.931973]
precision
0.9141985435646223 [0.974684,0.985507,0.911111,0.69697,0.938462,0.9]
precision
0.9330025832223199 [0.980263,1,0.914286,0.813559,0.929577,0.921569]
precision
0.9263975238251663 [0.980645,1,0.901408,0.816327,0.931507,0.901961]
precision
0.9162695464767496 [0.974026,0.985507,0.888889,0.727273,0.955224,0.909091]
precision
0.9201898222013489 [0.987013,0.972222,0.907801,0.788462,0.887324,0.908497]
predictive_accuracy
0.9206842923794712
predictive_accuracy
0.9393468118195956
predictive_accuracy
0.9284603421461897
predictive_accuracy
0.922239502332815
predictive_accuracy
0.9082426127527217
predictive_accuracy
0.9129082426127527
predictive_accuracy
0.9331259720062208
predictive_accuracy
0.9284603421461897
predictive_accuracy
0.9175738724727839
predictive_accuracy
0.922239502332815
prior_entropy
2.482745967475889
prior_entropy
2.482745967475889
prior_entropy
2.4842056866910305
prior_entropy
2.4842056866910305
prior_entropy
2.4842056866910305
prior_entropy
2.482197628005195
prior_entropy
2.4824697828675686
prior_entropy
2.4841804290135863
prior_entropy
2.4841804290135863
prior_entropy
2.482482495047111
relative_absolute_error
0.0994038678958415
relative_absolute_error
0.08370562610612536
relative_absolute_error
0.09537089269463044
relative_absolute_error
0.09974255032150353
relative_absolute_error
0.11347422241532552
relative_absolute_error
0.10738794753488964
relative_absolute_error
0.08308114573363122
relative_absolute_error
0.09444649882150367
relative_absolute_error
0.1104341405049015
relative_absolute_error
0.10441595342641104
root_mean_prior_squared_error
0.36746811962523923
root_mean_prior_squared_error
0.36746811962523923
root_mean_prior_squared_error
0.36753924175366387
root_mean_prior_squared_error
0.36753924175366387
root_mean_prior_squared_error
0.36753924175366387
root_mean_prior_squared_error
0.36743995189564116
root_mean_prior_squared_error
0.36745913249082046
root_mean_prior_squared_error
0.36754735033645464
root_mean_prior_squared_error
0.36754735033645464
root_mean_prior_squared_error
0.36745957089272085
root_mean_squared_error
0.14811921447896587
root_mean_squared_error
0.13163617267439598
root_mean_squared_error
0.1422389259458855
root_mean_squared_error
0.1462393899809702
root_mean_squared_error
0.1616156016977358
root_mean_squared_error
0.14944276510679302
root_mean_squared_error
0.13448782713062724
root_mean_squared_error
0.14487929027302365
root_mean_squared_error
0.1549090579459689
root_mean_squared_error
0.1499876687767478
root_relative_squared_error
0.4030804485298605
root_relative_squared_error
0.35822474289373607
root_relative_squared_error
0.3870033721221485
root_relative_squared_error
0.39788782629906044
root_relative_squared_error
0.43972339096801955
root_relative_squared_error
0.40671343531319953
root_relative_squared_error
0.3659939711363328
root_relative_squared_error
0.3941785735644685
root_relative_squared_error
0.4214669424338508
root_relative_squared_error
0.40817461472662636
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
0.8995151371807002 [0.980392,0.985714,0.977941,0.666667,0.885714,0.900662]
unweighted_recall
0.9227798440936344 [0.980392,0.942857,0.963235,0.746032,0.957143,0.94702]
unweighted_recall
0.9129550869980593 [0.973856,0.985714,0.955556,0.698413,0.943662,0.92053]
unweighted_recall
0.8951372796939773 [0.986928,0.985714,0.933333,0.603175,0.901408,0.960265]
unweighted_recall
0.8873626823970753 [0.960784,0.985714,0.948148,0.634921,0.887324,0.907285]
unweighted_recall
0.8962783051812422 [1,0.971429,0.911111,0.741935,0.859155,0.89404]
unweighted_recall
0.9206678497966747 [0.973856,0.971429,0.941176,0.774194,0.929577,0.933775]
unweighted_recall
0.9095913820119396 [0.993464,1,0.941176,0.645161,0.957746,0.92]
unweighted_recall
0.8932030301140599 [0.980392,0.957746,0.941176,0.645161,0.901408,0.933333]
unweighted_recall
0.9003960232897853 [0.993464,0.985915,0.941176,0.66129,0.9,0.92053]
weighted_recall
0.9206842923794712 [0.980392,0.985714,0.977941,0.666667,0.885714,0.900662]
weighted_recall
0.9393468118195957 [0.980392,0.942857,0.963235,0.746032,0.957143,0.94702]
weighted_recall
0.9284603421461898 [0.973856,0.985714,0.955556,0.698413,0.943662,0.92053]
weighted_recall
0.9222395023328149 [0.986928,0.985714,0.933333,0.603175,0.901408,0.960265]
weighted_recall
0.9082426127527217 [0.960784,0.985714,0.948148,0.634921,0.887324,0.907285]
weighted_recall
0.9129082426127527 [1,0.971429,0.911111,0.741935,0.859155,0.89404]
weighted_recall
0.9331259720062208 [0.973856,0.971429,0.941176,0.774194,0.929577,0.933775]
weighted_recall
0.9284603421461898 [0.993464,1,0.941176,0.645161,0.957746,0.92]
weighted_recall
0.9175738724727839 [0.980392,0.957746,0.941176,0.645161,0.901408,0.933333]
weighted_recall
0.9222395023328149 [0.993464,0.985915,0.941176,0.66129,0.9,0.92053]