10432883
10468
Nicolas Hug
3902
Supervised Classification
17371
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3)
8258433
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
5749
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.
1049
pc4
https://www.openml.org/data/download/53932/pc4.arff
-1
21788532
description
https://api.openml.org/data/download/21788532/description.xml
-1
21788533
predictions
https://api.openml.org/data/download/21788533/predictions.arff
-1
21788534
trace
https://api.openml.org/data/download/21788534/trace.arff
area_under_roc_curve
0.9351211376404494 [0.935121,0.935121]
average_cost
0
f_measure
0.9112770749716336 [0.95216,0.617284]
kappa
0.569968792814736
kb_relative_information_score
0.458172944166696
mean_absolute_error
0.09059080713955767
mean_prior_absolute_error
0.21475186500554347
weighted_recall
0.9149519890260631 [0.964063,0.561798]
number_of_instances
1458 [1280,178]
precision
0.9093417333632157 [0.940549,0.684932]
predictive_accuracy
0.914951989026063
prior_entropy
0.5353265209893541
relative_absolute_error
0.4218394431043438
root_mean_prior_squared_error
0.3273844178757506
root_mean_squared_error
0.2612631667321154
root_relative_squared_error
0.7980317708073399
total_cost
0
unweighted_recall
0.7629301264044944 [0.964063,0.561798]
area_under_roc_curve
0.9457465277777777 [0.945747,0.945747]
area_under_roc_curve
0.9322916666666665 [0.932292,0.932292]
area_under_roc_curve
0.9613715277777777 [0.961372,0.961372]
area_under_roc_curve
0.9587673611111112 [0.958767,0.958767]
area_under_roc_curve
0.9709201388888888 [0.97092,0.97092]
area_under_roc_curve
0.9366319444444444 [0.936632,0.936632]
area_under_roc_curve
0.9084201388888888 [0.90842,0.90842]
area_under_roc_curve
0.9652777777777777 [0.965278,0.965278]
area_under_roc_curve
0.9250919117647058 [0.925092,0.925092]
area_under_roc_curve
0.9641544117647058 [0.964154,0.964154]
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
0.9157093866536739 [0.953488,0.647059]
f_measure
0.9016609510959528 [0.945736,0.588235]
f_measure
0.9074272635916473 [0.949807,0.606061]
f_measure
0.9133034773445734 [0.953846,0.625]
f_measure
0.9438062577691158 [0.968992,0.764706]
f_measure
0.9016609510959528 [0.945736,0.588235]
f_measure
0.8699552160168599 [0.930769,0.4375]
f_measure
0.9193032000717861 [0.957854,0.645161]
f_measure
0.9093220020306095 [0.954198,0.571429]
f_measure
0.9291466185511894 [0.96124,0.6875]
kappa
0.6007292616226071
kappa
0.534184138559708
kappa
0.5563347358578775
kappa
0.579654510556622
kappa
0.7338195077484048
kappa
0.534184138559708
kappa
0.36948176583493264
kappa
0.6042385411532776
kappa
0.5279435702658706
kappa
0.6489104116222758
kb_relative_information_score
0.4265324192633254
kb_relative_information_score
0.4187478463378613
kb_relative_information_score
0.43987192894036065
kb_relative_information_score
0.49709295567180656
kb_relative_information_score
0.6389844208554857
kb_relative_information_score
0.3890078552804405
kb_relative_information_score
0.2996807658835525
kb_relative_information_score
0.5340807332421358
kb_relative_information_score
0.3368725762828154
kb_relative_information_score
0.6017141186130428
mean_absolute_error
0.09442471428426952
mean_absolute_error
0.10302985879160657
mean_absolute_error
0.10081322269760778
mean_absolute_error
0.08235597340397342
mean_absolute_error
0.06124091247839797
mean_absolute_error
0.09889490986055478
mean_absolute_error
0.11251877749265837
mean_absolute_error
0.07689490044644444
mean_absolute_error
0.10794988222419723
mean_absolute_error
0.06774735549283957
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.21109589041095872
mean_prior_absolute_error
0.21109589041095872
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
145 [128,17]
number_of_instances
145 [128,17]
precision
0.9142650158061116 [0.946154,0.6875]
precision
0.8998155953635406 [0.938462,0.625]
precision
0.905364425389522 [0.938931,0.666667]
precision
0.9116408705449802 [0.939394,0.714286]
precision
0.943163856691254 [0.961538,0.8125]
precision
0.8998155953635406 [0.938462,0.625]
precision
0.865296803652968 [0.916667,0.5]
precision
0.9188144227798156 [0.93985,0.769231]
precision
0.9087353202638844 [0.932836,0.727273]
precision
0.9279929266136162 [0.953846,0.733333]
predictive_accuracy
0.9178082191780823
predictive_accuracy
0.904109589041096
predictive_accuracy
0.910958904109589
predictive_accuracy
0.9178082191780823
predictive_accuracy
0.9452054794520548
predictive_accuracy
0.904109589041096
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.9246575342465754
predictive_accuracy
0.9172413793103448
predictive_accuracy
0.9310344827586207
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.521574187993427
prior_entropy
0.521574187993427
relative_absolute_error
0.4378414639294085
relative_absolute_error
0.47774297802956
relative_absolute_error
0.46746457581514234
relative_absolute_error
0.3818794711940611
relative_absolute_error
0.2839702611245447
relative_absolute_error
0.45856947978846796
relative_absolute_error
0.5217424975056576
relative_absolute_error
0.3565568192117492
relative_absolute_error
0.5113784167661521
relative_absolute_error
0.3209316645669885
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.3217523620321372
root_mean_prior_squared_error
0.3217523620321372
root_mean_squared_error
0.26190899155752134
root_mean_squared_error
0.2912125893952161
root_mean_squared_error
0.23280624113006326
root_mean_squared_error
0.25745716196587176
root_mean_squared_error
0.21523808777887132
root_mean_squared_error
0.2779051547368682
root_mean_squared_error
0.3102390901875288
root_mean_squared_error
0.25995334036157824
root_mean_squared_error
0.24719691664323507
root_mean_squared_error
0.24516630086713062
root_relative_squared_error
0.7966381205073044
root_relative_squared_error
0.8857697038359207
root_relative_squared_error
0.7081174467257343
root_relative_squared_error
0.7830971682184188
root_relative_squared_error
0.6546810962467019
root_relative_squared_error
0.8452930112567284
root_relative_squared_error
0.9436418514887432
root_relative_squared_error
0.7906896943618744
root_relative_squared_error
0.7682831450932583
root_relative_squared_error
0.7619720312811347
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
0.7860243055555556 [0.960938,0.611111]
unweighted_recall
0.7543402777777778 [0.953125,0.555556]
unweighted_recall
0.7582465277777778 [0.960938,0.555556]
unweighted_recall
0.7621527777777778 [0.96875,0.555556]
unweighted_recall
0.8493923611111112 [0.976562,0.722222]
unweighted_recall
0.7543402777777778 [0.953125,0.555556]
unweighted_recall
0.6671006944444444 [0.945312,0.388889]
unweighted_recall
0.7660590277777778 [0.976562,0.555556]
unweighted_recall
0.7235753676470589 [0.976562,0.470588]
unweighted_recall
0.8079044117647058 [0.96875,0.647059]
weighted_recall
0.9178082191780822 [0.960938,0.611111]
weighted_recall
0.9041095890410958 [0.953125,0.555556]
weighted_recall
0.910958904109589 [0.960938,0.555556]
weighted_recall
0.9178082191780822 [0.96875,0.555556]
weighted_recall
0.9452054794520548 [0.976562,0.722222]
weighted_recall
0.9041095890410958 [0.953125,0.555556]
weighted_recall
0.8767123287671232 [0.945312,0.388889]
weighted_recall
0.9246575342465754 [0.976562,0.555556]
weighted_recall
0.9172413793103448 [0.976562,0.470588]
weighted_recall
0.9310344827586207 [0.96875,0.647059]