10432858
10468
Nicolas Hug
146800
Supervised Classification
17371
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(3)
8258408
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
60148
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.
40966
MiceProtein
https://www.openml.org/data/download/17928620/phpchCuL5
-1
21788458
description
https://api.openml.org/data/download/21788458/description.xml
-1
21788459
predictions
https://api.openml.org/data/download/21788459/predictions.arff
-1
21788460
trace
https://api.openml.org/data/download/21788460/trace.arff
area_under_roc_curve
0.9999347919216497 [0.999814,0.999976,0.999914,1,0.99989,0.99998,0.999929,1]
average_cost
0
f_measure
0.98981262319692 [0.983165,0.989011,0.993289,0.99631,0.981685,0.985507,0.98893,1]
kappa
0.9883441993259651
kb_relative_information_score
0.9874498153728918
mean_absolute_error
0.00392801917250875
mean_prior_absolute_error
0.21846277573529482
weighted_recall
0.9898148148148148 [0.973333,1,0.986667,1,0.992593,0.971429,0.992593,1]
number_of_instances
1080 [150,135,150,135,135,105,135,135]
precision
0.9899572449752849 [0.993197,0.978261,1,0.992647,0.971014,1,0.985294,1]
predictive_accuracy
0.9898148148148148
prior_entropy
2.9930272047960242
relative_absolute_error
0.01798026761899345
root_mean_prior_squared_error
0.33050012389723266
root_mean_squared_error
0.04458569309518844
root_relative_squared_error
0.13490371068378823
total_cost
0
unweighted_recall
0.9895767195767197 [0.973333,1,0.986667,1,0.992593,0.971429,0.992593,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9996059443710829 [1,1,0.998566,1,1,1,0.998381,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
0.9998029721855415 [0.999283,1,1,1,0.99919,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
area_under_roc_curve
1 [1,1,1,1,1,1,1,1]
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
0.9907270233196159 [1,1,1,0.962963,1,1,0.96,1]
f_measure
1 [1,1,1,1,1,1,1,1]
f_measure
0.9629139721732315 [0.965517,0.962963,0.928571,1,0.965517,0.952381,0.928571,1]
f_measure
1 [1,1,1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1,1,1]
f_measure
0.9813871596554109 [0.967742,1,1,1,0.923077,0.947368,1,1]
f_measure
0.9906685437874522 [1,1,1,1,0.962963,0.947368,1,1]
f_measure
0.9714677640603566 [0.888889,0.933333,1,1,0.962963,1,1,1]
f_measure
1 [1,1,1,1,1,1,1,1]
f_measure
1 [1,1,1,1,1,1,1,1]
kappa
0.9894055326662742
kappa
1
kappa
0.9576345984112973
kappa
1
kappa
1
kappa
0.9787881763723854
kappa
0.9893961708394697
kappa
0.9682103610675039
kappa
1
kappa
1
kb_relative_information_score
0.9902471766939979
kb_relative_information_score
0.9991391869015661
kb_relative_information_score
0.958397140823815
kb_relative_information_score
0.9973131144346528
kb_relative_information_score
0.9986291148963466
kb_relative_information_score
0.9811029608199887
kb_relative_information_score
0.9942835352953555
kb_relative_information_score
0.9658949355788765
kb_relative_information_score
0.9958150236316528
kb_relative_information_score
0.9936687567623469
mean_absolute_error
0.0037139423868647317
mean_absolute_error
0.00043720440393125006
mean_absolute_error
0.010990752154144214
mean_absolute_error
0.0013173941868503084
mean_absolute_error
0.0006858144670471557
mean_absolute_error
0.005910156735374424
mean_absolute_error
0.0023216339442213574
mean_absolute_error
0.009258728600709126
mean_absolute_error
0.0017844818343467628
mean_absolute_error
0.0028600830115982157
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21849468954248363
mean_prior_absolute_error
0.21843086192810454
mean_prior_absolute_error
0.21843086192810454
mean_prior_absolute_error
0.21843086192810454
mean_prior_absolute_error
0.21843086192810454
mean_prior_absolute_error
0.21843086192810454
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,13,15,13,14,11,13,14]
number_of_instances
108 [15,14,15,14,13,10,14,13]
number_of_instances
108 [15,14,15,14,13,10,14,13]
number_of_instances
108 [15,14,15,14,13,10,14,13]
number_of_instances
108 [15,14,15,14,13,10,14,13]
number_of_instances
108 [15,14,15,14,13,10,14,13]
precision
0.9914021164021164 [1,1,1,0.928571,1,1,1,1]
precision
1 [1,1,1,1,1,1,1,1]
precision
0.9667107583774249 [1,0.928571,1,1,0.933333,1,0.866667,1]
precision
1 [1,1,1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1,1,1]
precision
0.9820601851851852 [0.9375,1,1,1,0.923077,1,1,1]
precision
0.9914021164021164 [1,1,1,1,0.928571,1,1,1]
precision
0.9751984126984127 [1,0.875,1,1,0.928571,1,1,1]
precision
1 [1,1,1,1,1,1,1,1]
precision
1 [1,1,1,1,1,1,1,1]
predictive_accuracy
0.9907407407407408
predictive_accuracy
1
predictive_accuracy
0.9629629629629629
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9814814814814815
predictive_accuracy
0.9907407407407408
predictive_accuracy
0.9722222222222223
predictive_accuracy
1
predictive_accuracy
1
prior_entropy
2.9946917528825625
prior_entropy
2.9946917528825625
prior_entropy
2.9946917528825625
prior_entropy
2.9946917528825625
prior_entropy
2.9946917528825625
prior_entropy
2.991362656709533
prior_entropy
2.991362656709533
prior_entropy
2.991362656709533
prior_entropy
2.991362656709533
prior_entropy
2.991362656709533
relative_absolute_error
0.016997861113428117
relative_absolute_error
0.0020009841193245155
relative_absolute_error
0.050302147741706084
relative_absolute_error
0.006029410552763833
relative_absolute_error
0.003138815265868544
relative_absolute_error
0.027057333763210272
relative_absolute_error
0.0106286901206548
relative_absolute_error
0.04238745623664018
relative_absolute_error
0.008169549937197594
relative_absolute_error
0.013093767915174907
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.3305484014532142
root_mean_prior_squared_error
0.33045183928811195
root_mean_prior_squared_error
0.33045183928811195
root_mean_prior_squared_error
0.33045183928811195
root_mean_prior_squared_error
0.33045183928811195
root_mean_prior_squared_error
0.33045183928811195
root_mean_squared_error
0.036034568609020184
root_mean_squared_error
0.0040605004577538555
root_mean_squared_error
0.0914519513107034
root_mean_squared_error
0.01109000418152936
root_mean_squared_error
0.00670752950642569
root_mean_squared_error
0.05860485632750171
root_mean_squared_error
0.027266677735777792
root_mean_squared_error
0.06875904043505027
root_mean_squared_error
0.022783148262580596
root_mean_squared_error
0.02464843928931597
root_relative_squared_error
0.10901449969383839
root_relative_squared_error
0.012284132792360753
root_relative_squared_error
0.276667353127852
root_relative_squared_error
0.03355031860016131
root_relative_squared_error
0.02029212507740738
root_relative_squared_error
0.17734764755358415
root_relative_squared_error
0.08251331811170438
root_relative_squared_error
0.20807582909260533
root_relative_squared_error
0.06894544243319096
root_relative_squared_error
0.07459011074780453
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
0.9903846153846154 [1,1,1,1,1,1,0.923077,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1]
unweighted_recall
0.9636363636363636 [0.933333,1,0.866667,1,1,0.909091,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1]
unweighted_recall
0.9778846153846155 [1,1,1,1,0.923077,0.9,1,1]
unweighted_recall
0.9875 [1,1,1,1,1,0.9,1,1]
unweighted_recall
0.975 [0.8,1,1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1]
unweighted_recall
1 [1,1,1,1,1,1,1,1]
weighted_recall
0.9907407407407407 [1,1,1,1,1,1,0.923077,1]
weighted_recall
1 [1,1,1,1,1,1,1,1]
weighted_recall
0.9629629629629629 [0.933333,1,0.866667,1,1,0.909091,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1]
weighted_recall
0.9814814814814815 [1,1,1,1,0.923077,0.9,1,1]
weighted_recall
0.9907407407407407 [1,1,1,1,1,0.9,1,1]
weighted_recall
0.9722222222222222 [0.8,1,1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1]
weighted_recall
1 [1,1,1,1,1,1,1,1]