10432910
10468
Nicolas Hug
146819
Supervised Classification
17371
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3)
8258460
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
1437
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.
40994
climate-model-simulation-crashes
https://www.openml.org/data/download/18237248/phpJem85A
-1
21788613
description
https://api.openml.org/data/download/21788613/description.xml
-1
21788614
predictions
https://api.openml.org/data/download/21788614/predictions.arff
-1
21788615
trace
https://api.openml.org/data/download/21788615/trace.arff
area_under_roc_curve
0.9425717303291674 [0.942572,0.942572]
average_cost
0
f_measure
0.9381847055803318 [0.594595,0.970179]
kappa
0.5666595334902629
kb_relative_information_score
0.5476387526856097
mean_absolute_error
0.0554274736696859
mean_prior_absolute_error
0.15712723793904684
weighted_recall
0.9444444444444444 [0.478261,0.987854]
number_of_instances
540 [46,494]
precision
0.9388640873015872 [0.785714,0.953125]
predictive_accuracy
0.9444444444444444
prior_entropy
0.420212492518953
relative_absolute_error
0.3527553490833171
root_mean_prior_squared_error
0.2791612659332496
root_mean_squared_error
0.2068104540200061
root_relative_squared_error
0.7408278986292341
total_cost
0
unweighted_recall
0.7330575602886815 [0.478261,0.987854]
area_under_roc_curve
0.865 [0.865,0.865]
area_under_roc_curve
0.975 [0.975,0.975]
area_under_roc_curve
0.9049999999999999 [0.905,0.905]
area_under_roc_curve
0.985 [0.985,0.985]
area_under_roc_curve
0.9428571428571428 [0.942857,0.942857]
area_under_roc_curve
0.9265306122448979 [0.926531,0.926531]
area_under_roc_curve
0.9714285714285714 [0.971429,0.971429]
area_under_roc_curve
0.9959183673469387 [0.995918,0.995918]
area_under_roc_curve
0.946938775510204 [0.946939,0.946939]
area_under_roc_curve
1 [1,1]
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
0.9407512179789406 [0.571429,0.970297]
f_measure
0.9407512179789406 [0.571429,0.970297]
f_measure
0.9143064633260712 [0.333333,0.960784]
f_measure
0.9629629629629629 [0.75,0.98]
f_measure
0.9587037037037036 [0.75,0.98]
f_measure
0.9174074074074073 [0.5,0.96]
f_measure
0.9333647650479333 [0.571429,0.970297]
f_measure
0.9629629629629629 [0.8,0.979592]
f_measure
0.9333647650479333 [0.571429,0.970297]
f_measure
0.9026870007262163 [0.333333,0.960784]
kappa
0.5423728813559318
kappa
0.5423728813559318
kappa
0.29870129870129875
kappa
0.7299999999999996
kappa
0.7313432835820891
kappa
0.46268656716417905
kappa
0.5474860335195529
kappa
0.7795918367346936
kappa
0.5474860335195529
kappa
0.3121019108280258
kb_relative_information_score
0.5257315827507638
kb_relative_information_score
0.43744968753344415
kb_relative_information_score
0.30655803467764087
kb_relative_information_score
0.6174596030834837
kb_relative_information_score
0.6328348706157603
kb_relative_information_score
0.36767337326359933
kb_relative_information_score
0.5538615515629125
kb_relative_information_score
0.7074975563658203
kb_relative_information_score
0.6224177713409323
kb_relative_information_score
0.6620593432088091
mean_absolute_error
0.053717605044310036
mean_absolute_error
0.059149618728934594
mean_absolute_error
0.07102142313169582
mean_absolute_error
0.04307756549185172
mean_absolute_error
0.05345314934907372
mean_absolute_error
0.07187688486309199
mean_absolute_error
0.0580347364125494
mean_absolute_error
0.03359719982387962
mean_absolute_error
0.05487470328858981
mean_absolute_error
0.05547185056288266
mean_prior_absolute_error
0.1479431460981276
mean_prior_absolute_error
0.1479431460981276
mean_prior_absolute_error
0.1479431460981276
mean_prior_absolute_error
0.1479431460981276
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
mean_prior_absolute_error
0.1632499658329916
number_of_instances
54 [4,50]
number_of_instances
54 [4,50]
number_of_instances
54 [4,50]
number_of_instances
54 [4,50]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
number_of_instances
54 [5,49]
precision
0.9389978213507625 [0.666667,0.960784]
precision
0.9389978213507625 [0.666667,0.960784]
precision
0.9095441595441595 [0.5,0.942308]
precision
0.9629629629629629 [0.75,0.98]
precision
0.9644153957879448 [1,0.960784]
precision
0.9157588961510531 [0.666667,0.941176]
precision
0.9476495726495726 [1,0.942308]
precision
0.9629629629629629 [0.8,0.979592]
precision
0.9476495726495726 [1,0.942308]
precision
0.9315164220824599 [1,0.924528]
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9259259259259259
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9259259259259259
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9629629629629629
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9259259259259259
prior_entropy
0.3824714273712947
prior_entropy
0.3824714273712947
prior_entropy
0.3824714273712947
prior_entropy
0.3824714273712947
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
prior_entropy
0.4453732026173935
relative_absolute_error
0.3630962735420016
relative_absolute_error
0.3998131734315147
relative_absolute_error
0.4800588942767839
relative_absolute_error
0.2911764865624749
relative_absolute_error
0.32743130497042494
relative_absolute_error
0.4402872888599785
relative_absolute_error
0.35549616268783946
relative_absolute_error
0.20580218594502075
relative_absolute_error
0.3361391410319061
relative_absolute_error
0.33979701177782556
root_mean_prior_squared_error
0.2621963397085025
root_mean_prior_squared_error
0.2621963397085025
root_mean_prior_squared_error
0.2621963397085025
root_mean_prior_squared_error
0.2621963397085025
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_prior_squared_error
0.2899202309108498
root_mean_squared_error
0.20416437774938412
root_mean_squared_error
0.19904814489037995
root_mean_squared_error
0.25303846113264117
root_mean_squared_error
0.17090097458025286
root_mean_squared_error
0.1854745032513439
root_mean_squared_error
0.24763347867750407
root_mean_squared_error
0.2095433597044925
root_mean_squared_error
0.17415463665854825
root_mean_squared_error
0.20633841749556256
root_mean_squared_error
0.2015684626867891
root_relative_squared_error
0.7786698242102252
root_relative_squared_error
0.759156840677762
root_relative_squared_error
0.965072439279501
root_relative_squared_error
0.6518053408764307
root_relative_squared_error
0.6397432240883429
root_relative_squared_error
0.8541434928480419
root_relative_squared_error
0.7227621164834368
root_relative_squared_error
0.6006984614747379
root_relative_squared_error
0.711707550891857
root_relative_squared_error
0.6952549053010766
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
0.74 [0.5,0.98]
unweighted_recall
0.74 [0.5,0.98]
unweighted_recall
0.615 [0.25,0.98]
unweighted_recall
0.865 [0.75,0.98]
unweighted_recall
0.8 [0.6,1]
unweighted_recall
0.689795918367347 [0.4,0.979592]
unweighted_recall
0.7 [0.4,1]
unweighted_recall
0.889795918367347 [0.8,0.979592]
unweighted_recall
0.7 [0.4,1]
unweighted_recall
0.6 [0.2,1]
weighted_recall
0.9444444444444444 [0.5,0.98]
weighted_recall
0.9444444444444444 [0.5,0.98]
weighted_recall
0.9259259259259259 [0.25,0.98]
weighted_recall
0.9629629629629629 [0.75,0.98]
weighted_recall
0.9629629629629629 [0.6,1]
weighted_recall
0.9259259259259259 [0.4,0.979592]
weighted_recall
0.9444444444444444 [0.4,1]
weighted_recall
0.9629629629629629 [0.8,0.979592]
weighted_recall
0.9444444444444444 [0.4,1]
weighted_recall
0.9259259259259259 [0.2,1]