10437723
10468
Nicolas Hug
146195
Supervised Classification
17374
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8260864
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
6208
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.
40668
connect-4
https://www.openml.org/data/download/4965243/connect-4.arff
-1
21799668
description
https://api.openml.org/data/download/21799668/description.xml
-1
21799669
predictions
https://api.openml.org/data/download/21799669/predictions.arff
-1
21799670
trace
https://api.openml.org/data/download/21799670/trace.arff
area_under_roc_curve
0.9565284328452212 [0.874006,0.966273,0.96485]
average_cost
0
f_measure
0.847809061196956 [0.395544,0.819175,0.924102]
kappa
0.7023112956730156
kb_relative_information_score
0.611559728277404
mean_absolute_error
0.13666995290699097
mean_prior_absolute_error
0.3312661139316681
weighted_recall
0.8583418446645056 [0.311056,0.826931,0.949452]
number_of_instances
67557 [6449,16635,44473]
precision
0.8441948091581509 [0.543043,0.811563,0.90007]
predictive_accuracy
0.8583418446645055
prior_entropy
1.2184443574876134
relative_absolute_error
0.41256846734158437
root_mean_prior_squared_error
0.4069773263039227
root_mean_squared_error
0.2581169171900757
root_relative_squared_error
0.6342292322135878
total_cost
0
unweighted_recall
0.6958132078920481 [0.311056,0.826931,0.949452]
area_under_roc_curve
0.9586908208439159 [0.879833,0.966535,0.967193]
area_under_roc_curve
0.9562773985392886 [0.871244,0.966747,0.964694]
area_under_roc_curve
0.9610866245373595 [0.885629,0.970924,0.968351]
area_under_roc_curve
0.9543217008686118 [0.874589,0.961552,0.963181]
area_under_roc_curve
0.9564929311127142 [0.870684,0.96764,0.964768]
area_under_roc_curve
0.9543297594076894 [0.874482,0.964804,0.961992]
area_under_roc_curve
0.9569711637819655 [0.875126,0.967956,0.964732]
area_under_roc_curve
0.9568591763300344 [0.871917,0.966902,0.965402]
area_under_roc_curve
0.9566974663522277 [0.878839,0.964401,0.965109]
area_under_roc_curve
0.9551412175508642 [0.860815,0.967036,0.964374]
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
0.8468186554496269 [0.380665,0.815696,0.926051]
f_measure
0.8462113724356546 [0.39726,0.814837,0.923043]
f_measure
0.8562670166910424 [0.403131,0.837057,0.929158]
f_measure
0.8486974226362068 [0.433515,0.805802,0.924967]
f_measure
0.8507022905733088 [0.411765,0.826929,0.923262]
f_measure
0.8446151139421445 [0.384845,0.816968,0.921646]
f_measure
0.8406873330811727 [0.346774,0.817595,0.920966]
f_measure
0.8468527199255571 [0.386965,0.819162,0.923814]
f_measure
0.8508503263520445 [0.43083,0.815861,0.924855]
f_measure
0.8458937574605863 [0.374374,0.821885,0.923262]
kappa
0.7017242924806373
kappa
0.6976536121930356
kappa
0.7197475815462844
kappa
0.7009154275589341
kappa
0.7075307587675616
kappa
0.6966050076870105
kappa
0.6913300091247983
kappa
0.7011403575313986
kappa
0.706671304102688
kappa
0.6998019958975965
kb_relative_information_score
0.6144770764974942
kb_relative_information_score
0.6057979192366209
kb_relative_information_score
0.6262302444113589
kb_relative_information_score
0.6211898239957565
kb_relative_information_score
0.6099619237818094
kb_relative_information_score
0.6084294043528403
kb_relative_information_score
0.605355573930151
kb_relative_information_score
0.6094830628205444
kb_relative_information_score
0.6119487398342144
kb_relative_information_score
0.602722622191967
mean_absolute_error
0.13608928758984076
mean_absolute_error
0.13847132627561917
mean_absolute_error
0.13327600003802637
mean_absolute_error
0.13107532600733088
mean_absolute_error
0.13848754734349233
mean_absolute_error
0.1382127337438673
mean_absolute_error
0.13893555611880617
mean_absolute_error
0.13662941937636036
mean_absolute_error
0.13677789660674763
mean_absolute_error
0.13874475305245645
mean_prior_absolute_error
0.33124674360604567
mean_prior_absolute_error
0.33124674360604567
mean_prior_absolute_error
0.33124674360604567
mean_prior_absolute_error
0.33128740361684467
mean_prior_absolute_error
0.33128740361684467
mean_prior_absolute_error
0.33128740361684467
mean_prior_absolute_error
0.33128740361684467
mean_prior_absolute_error
0.33124717680195626
mean_prior_absolute_error
0.33126205661307934
mean_prior_absolute_error
0.33126205661307934
number_of_instances
6756 [645,1663,4448]
number_of_instances
6756 [645,1663,4448]
number_of_instances
6756 [645,1663,4448]
number_of_instances
6756 [645,1664,4447]
number_of_instances
6756 [645,1664,4447]
number_of_instances
6756 [645,1664,4447]
number_of_instances
6756 [645,1664,4447]
number_of_instances
6755 [644,1664,4447]
number_of_instances
6755 [645,1663,4447]
number_of_instances
6755 [645,1663,4447]
precision
0.8433100876866535 [0.543103,0.806584,0.900574]
precision
0.8424247909313295 [0.538462,0.817302,0.895895]
precision
0.8525885774451325 [0.546419,0.829398,0.905656]
precision
0.8451537273030427 [0.525386,0.794049,0.910656]
precision
0.8474892763324792 [0.56,0.819846,0.899531]
precision
0.8410306766159449 [0.539106,0.806678,0.897676]
precision
0.8361341124514635 [0.495677,0.798396,0.899635]
precision
0.8439729333927538 [0.56213,0.816229,0.89517]
precision
0.8485209281384871 [0.594005,0.815126,0.897925]
precision
0.8419642280985481 [0.528249,0.812941,0.89832]
predictive_accuracy
0.8584961515689757
predictive_accuracy
0.8567199526346951
predictive_accuracy
0.8664890467732386
predictive_accuracy
0.8552397868561279
predictive_accuracy
0.8607164002368265
predictive_accuracy
0.855683836589698
predictive_accuracy
0.8527235050325637
predictive_accuracy
0.858919319022946
predictive_accuracy
0.8609918578830497
predictive_accuracy
0.857438934122872
prior_entropy
1.2183532771387544
prior_entropy
1.2183532771387544
prior_entropy
1.2183532771387544
prior_entropy
1.218563261386341
prior_entropy
1.218563261386341
prior_entropy
1.218563261386341
prior_entropy
1.218563261386341
prior_entropy
1.2182419830738163
prior_entropy
1.21844434244087
prior_entropy
1.21844434244087
relative_absolute_error
0.41083962398644075
relative_absolute_error
0.4180307548632212
relative_absolute_error
0.4023465969420444
relative_absolute_error
0.39565442143682583
relative_absolute_error
0.4180284122835595
relative_absolute_error
0.41719887999037625
relative_absolute_error
0.4193807389051657
relative_absolute_error
0.4124696871244503
relative_absolute_error
0.4128993764187938
relative_absolute_error
0.41883684014711375
root_mean_prior_squared_error
0.40695352781344096
root_mean_prior_squared_error
0.40695352781344096
root_mean_prior_squared_error
0.40695352781344096
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
0.4070034813249195
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_squared_error
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root_mean_squared_error
0.25892328933966535
root_mean_squared_error
0.2510086713239137
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
0.2579389301354903
root_mean_squared_error
0.25811788115406104
root_mean_squared_error
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root_relative_squared_error
0.6296921053745943
root_relative_squared_error
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root_relative_squared_error
0.6167993497257092
root_relative_squared_error
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root_relative_squared_error
0.6320324755881778
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
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
0.6903502929382571 [0.293023,0.825015,0.953013]
unweighted_recall
0.6930014744444918 [0.314729,0.812387,0.951888]
unweighted_recall
0.7060501348602976 [0.31938,0.844859,0.953912]
unweighted_recall
0.7088785181609797 [0.368992,0.817909,0.939735]
unweighted_recall
0.7026652499611471 [0.325581,0.834135,0.94828]
unweighted_recall
0.6912264532056634 [0.299225,0.827524,0.946931]
unweighted_recall
0.6825798783487955 [0.266667,0.83774,0.943333]
unweighted_recall
0.6904992295161291 [0.295031,0.822115,0.954351]
unweighted_recall
0.7026775912287135 [0.337984,0.816597,0.953452]
unweighted_recall
0.6901932353810066 [0.289922,0.831028,0.949629]
usercpu_time_millis
12007.528761
usercpu_time_millis
12070.964736999998
usercpu_time_millis
12325.450885999995
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
12033.906433000013
usercpu_time_millis_testing
101.8750500000003
usercpu_time_millis_testing
97.15588699999955
usercpu_time_millis_testing
100.10892399999705
usercpu_time_millis_testing
96.66473700000466
usercpu_time_millis_testing
98.32056799999833
usercpu_time_millis_testing
99.95723900000542
usercpu_time_millis_testing
100.52010500000108
usercpu_time_millis_testing
100.40805600000624
usercpu_time_millis_testing
102.70037800000864
usercpu_time_millis_testing
100.3415590000003
usercpu_time_millis_training
11905.653710999999
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
11938.232275000004
usercpu_time_millis_training
11933.564874000012
wall_clock_time_millis
224048.1960773468
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
223545.9530353546
wall_clock_time_millis
228038.41018676758
wall_clock_time_millis
222798.08950424194
wall_clock_time_millis
227476.37963294983
wall_clock_time_millis
224773.16617965698
wall_clock_time_millis
222372.820854187
wall_clock_time_millis_testing
101.80830955505371
wall_clock_time_millis_testing
97.08786010742188
wall_clock_time_millis_testing
100.04425048828125
wall_clock_time_millis_testing
96.6024398803711
wall_clock_time_millis_testing
98.25634956359863
wall_clock_time_millis_testing
99.89047050476074
wall_clock_time_millis_testing
100.45337677001953
wall_clock_time_millis_testing
100.3410816192627
wall_clock_time_millis_testing
102.630615234375
wall_clock_time_millis_testing
100.27503967285156
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
227376.03855133057
wall_clock_time_millis_training
224670.5355644226
wall_clock_time_millis_training
222272.54581451416
weighted_recall
0.8584961515689757 [0.293023,0.825015,0.953013]
weighted_recall
0.8567199526346951 [0.314729,0.812387,0.951888]
weighted_recall
0.8664890467732386 [0.31938,0.844859,0.953912]
weighted_recall
0.8552397868561279 [0.368992,0.817909,0.939735]
weighted_recall
0.8607164002368265 [0.325581,0.834135,0.94828]
weighted_recall
0.855683836589698 [0.299225,0.827524,0.946931]
weighted_recall
0.8527235050325637 [0.266667,0.83774,0.943333]
weighted_recall
0.8589193190229459 [0.295031,0.822115,0.954351]
weighted_recall
0.8609918578830495 [0.337984,0.816597,0.953452]
weighted_recall
0.857438934122872 [0.289922,0.831028,0.949629]