10432868
10468
Nicolas Hug
9976
Supervised Classification
17371
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3)
8258418
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
32840
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.
1485
madelon
https://www.openml.org/data/download/1590986/phpfLuQE4
-1
21788488
description
https://api.openml.org/data/download/21788488/description.xml
-1
21788489
predictions
https://api.openml.org/data/download/21788489/predictions.arff
-1
21788490
trace
https://api.openml.org/data/download/21788490/trace.arff
area_under_roc_curve
0.9111869822485206 [0.911187,0.911187]
average_cost
0
f_measure
0.834950558414318 [0.832094,0.837807]
kappa
0.6699999999999999
kb_relative_information_score
0.46333054731477574
mean_absolute_error
0.2905328152086593
mean_prior_absolute_error
0.5
weighted_recall
0.835 [0.817692,0.852308]
number_of_instances
2600 [1300,1300]
precision
0.8354018868762866 [0.847012,0.823792]
predictive_accuracy
0.835
prior_entropy
1
relative_absolute_error
0.5810656304173186
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.3520686182730383
root_relative_squared_error
0.7041372365460766
total_cost
0
unweighted_recall
0.835 [0.817692,0.852308]
area_under_roc_curve
0.9107100591715976 [0.91071,0.91071]
area_under_roc_curve
0.9172189349112426 [0.917219,0.917219]
area_under_roc_curve
0.9143786982248521 [0.914379,0.914379]
area_under_roc_curve
0.9317751479289941 [0.931775,0.931775]
area_under_roc_curve
0.9155029585798816 [0.915503,0.915503]
area_under_roc_curve
0.9318934911242603 [0.931893,0.931893]
area_under_roc_curve
0.912189349112426 [0.912189,0.912189]
area_under_roc_curve
0.8716568047337279 [0.871657,0.871657]
area_under_roc_curve
0.8734319526627219 [0.873432,0.873432]
area_under_roc_curve
0.9287573964497041 [0.928757,0.928757]
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
0.8345541990381058 [0.831373,0.837736]
f_measure
0.8538375051778211 [0.852713,0.854962]
f_measure
0.8575890808426226 [0.853755,0.861423]
f_measure
0.8769157938339548 [0.875969,0.877863]
f_measure
0.8228148148148149 [0.816,0.82963]
f_measure
0.8497310274307562 [0.843373,0.856089]
f_measure
0.845925925925926 [0.84,0.851852]
f_measure
0.7611851851851852 [0.77037,0.752]
f_measure
0.7922954020947984 [0.790698,0.793893]
f_measure
0.8537682789651294 [0.850394,0.857143]
kappa
0.6692307692307693
kappa
0.7076923076923076
kappa
0.7153846153846153
kappa
0.7538461538461538
kappa
0.6461538461538461
kappa
0.7
kappa
0.6923076923076923
kappa
0.523076923076923
kappa
0.5846153846153845
kappa
0.7076923076923076
kb_relative_information_score
0.4610314012854809
kb_relative_information_score
0.4930628702609201
kb_relative_information_score
0.4769414932281563
kb_relative_information_score
0.520589232478356
kb_relative_information_score
0.46016104610883146
kb_relative_information_score
0.5012490264476319
kb_relative_information_score
0.4682648404244551
kb_relative_information_score
0.3483934127618358
kb_relative_information_score
0.4133332592958228
kb_relative_information_score
0.4902788908562693
mean_absolute_error
0.2920328247987694
mean_absolute_error
0.27589606080944323
mean_absolute_error
0.2849726573517203
mean_absolute_error
0.2634224742077255
mean_absolute_error
0.2908443043558652
mean_absolute_error
0.27183244932843503
mean_absolute_error
0.28775766794902163
mean_absolute_error
0.34668992006175203
mean_absolute_error
0.31345350714729503
mean_absolute_error
0.27842628607656505
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
precision
0.835111111111111 [0.848,0.822222]
precision
0.8539299242424243 [0.859375,0.848485]
precision
0.8587324194409827 [0.878049,0.839416]
precision
0.8770123106060606 [0.882812,0.871212]
precision
0.825 [0.85,0.8]
precision
0.8525239883187318 [0.882353,0.822695]
precision
0.8482142857142857 [0.875,0.821429]
precision
0.763095238095238 [0.742857,0.783333]
precision
0.792376893939394 [0.796875,0.787879]
precision
0.8546015180265655 [0.870968,0.838235]
predictive_accuracy
0.8346153846153846
predictive_accuracy
0.8538461538461539
predictive_accuracy
0.8576923076923078
predictive_accuracy
0.8769230769230769
predictive_accuracy
0.823076923076923
predictive_accuracy
0.85
predictive_accuracy
0.8461538461538461
predictive_accuracy
0.7615384615384616
predictive_accuracy
0.7923076923076923
predictive_accuracy
0.8538461538461539
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
relative_absolute_error
0.5840656495975388
relative_absolute_error
0.5517921216188865
relative_absolute_error
0.5699453147034406
relative_absolute_error
0.526844948415451
relative_absolute_error
0.5816886087117304
relative_absolute_error
0.5436648986568701
relative_absolute_error
0.5755153358980433
relative_absolute_error
0.6933798401235041
relative_absolute_error
0.6269070142945901
relative_absolute_error
0.5568525721531301
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.35193364707221403
root_mean_squared_error
0.34238806405546707
root_mean_squared_error
0.34703165472041947
root_mean_squared_error
0.32711955871036463
root_mean_squared_error
0.35214392064765887
root_mean_squared_error
0.33377797505514384
root_mean_squared_error
0.35051351466921904
root_mean_squared_error
0.3925764158688139
root_mean_squared_error
0.37957335717719765
root_mean_squared_error
0.3384273763850225
root_relative_squared_error
0.7038672941444282
root_relative_squared_error
0.6847761281109341
root_relative_squared_error
0.6940633094408389
root_relative_squared_error
0.6542391174207293
root_relative_squared_error
0.7042878412953177
root_relative_squared_error
0.6675559501102878
root_relative_squared_error
0.701027029338438
root_relative_squared_error
0.7851528317376278
root_relative_squared_error
0.7591467143543953
root_relative_squared_error
0.676854752770045
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
0.8346153846153845 [0.815385,0.853846]
unweighted_recall
0.8538461538461539 [0.846154,0.861538]
unweighted_recall
0.8576923076923078 [0.830769,0.884615]
unweighted_recall
0.8769230769230769 [0.869231,0.884615]
unweighted_recall
0.823076923076923 [0.784615,0.861538]
unweighted_recall
0.8500000000000001 [0.807692,0.892308]
unweighted_recall
0.8461538461538461 [0.807692,0.884615]
unweighted_recall
0.7615384615384615 [0.8,0.723077]
unweighted_recall
0.7923076923076924 [0.784615,0.8]
unweighted_recall
0.8538461538461539 [0.830769,0.876923]
weighted_recall
0.8346153846153846 [0.815385,0.853846]
weighted_recall
0.8538461538461538 [0.846154,0.861538]
weighted_recall
0.8576923076923076 [0.830769,0.884615]
weighted_recall
0.8769230769230769 [0.869231,0.884615]
weighted_recall
0.823076923076923 [0.784615,0.861538]
weighted_recall
0.85 [0.807692,0.892308]
weighted_recall
0.8461538461538461 [0.807692,0.884615]
weighted_recall
0.7615384615384615 [0.8,0.723077]
weighted_recall
0.7923076923076923 [0.784615,0.8]
weighted_recall
0.8538461538461538 [0.830769,0.876923]