5973873
1
Jan van Rijn
14967
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
4008606
class_weight
null
6941
criterion
"gini"
6941
max_depth
5
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
31467
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
algorithm
"SAMME"
6971
learning_rate
0.014558912648412085
6971
n_estimators
150
6971
random_state
9166
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
12871105
description
https://api.openml.org/data/download/12871105/description.xml
-1
12871106
predictions
https://api.openml.org/data/download/12871106/predictions.arff
area_under_roc_curve
0.9386337137376659 [0.954628,0.940652,0.918028,0.933871,0.962146,0.926994]
average_cost
0
f_measure
0.7628929587527217 [0.880466,0.79292,0.729623,0.774269,0.728395,0.591837]
kappa
0.7028015893595277
kb_relative_information_score
133.20580014893133
mean_absolute_error
0.27608321621125614
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.8377164185002723 [1,1,0.590537,0.962209,0.634409,0.983051]
predictive_accuracy
0.7607296137339056
prior_entropy
2.5206634795042744
recall
0.7607296137339056 [0.786458,0.656891,0.954412,0.64775,0.855072,0.423358]
relative_absolute_error
1.0117386577190317
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.3704123481312322
root_relative_squared_error
1.0028199591100118
total_cost
0
area_under_roc_curve
0.943134428240385 [0.949751,0.913797,0.942633,0.948412,0.958975,0.933461]
area_under_roc_curve
0.9431934336260004 [0.935112,0.965626,0.904342,0.961855,0.971068,0.952239]
area_under_roc_curve
0.950566190905515 [0.981244,0.946557,0.916759,0.947855,0.971987,0.947562]
area_under_roc_curve
0.9483911952213396 [0.967109,0.905428,0.941662,0.942546,0.966374,0.962443]
area_under_roc_curve
0.9356669713217058 [0.961207,0.974175,0.899695,0.922149,0.955404,0.918972]
area_under_roc_curve
0.9314924949669297 [0.936743,0.928513,0.913603,0.934797,0.971017,0.902869]
area_under_roc_curve
0.9442922660192373 [0.941402,0.960144,0.950585,0.938123,0.96745,0.890212]
area_under_roc_curve
0.9591877340303835 [0.98455,0.966507,0.934799,0.945003,0.979455,0.953116]
area_under_roc_curve
0.94690138118331 [0.972301,0.953361,0.919849,0.95743,0.955194,0.920488]
area_under_roc_curve
0.9296977546474753 [0.951636,0.92443,0.916818,0.892415,0.953134,0.956423]
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
0.7242306789392264 [0.862745,0.716981,0.713514,0.725,0.686275,0.526316]
f_measure
0.8000907737644699 [0.851485,0.827586,0.755814,0.879121,0.770833,0.666667]
f_measure
0.8150392419743738 [0.925926,0.847458,0.759036,0.8,0.783505,0.755556]
f_measure
0.7934112385813785 [0.873786,0.827586,0.757062,0.840909,0.73913,0.666667]
f_measure
0.7358138945630618 [0.862745,0.763636,0.680628,0.746988,0.73913,0.540541]
f_measure
0.7452253397641747 [0.873786,0.833333,0.722222,0.740741,0.666667,0.540541]
f_measure
0.7525832034338541 [0.848485,0.807018,0.731183,0.771084,0.744681,0.512821]
f_measure
0.7769295766398967 [0.914286,0.847458,0.745763,0.740741,0.755102,0.578947]
f_measure
0.7692659281106171 [0.924528,0.716981,0.711864,0.840909,0.729167,0.578947]
f_measure
0.7100029508409558 [0.86,0.716981,0.72619,0.652632,0.679245,0.5]
kappa
0.6577017114914425
kappa
0.7479907154474111
kappa
0.7662255828607435
kappa
0.7385745031016583
kappa
0.6655891204993869
kappa
0.6806134250091095
kappa
0.6919889281771492
kappa
0.7239563385675986
kappa
0.7100163100834693
kappa
0.6444104573913875
kb_relative_information_score
13.22778526121815
kb_relative_information_score
13.605408259944895
kb_relative_information_score
13.609767653234282
kb_relative_information_score
13.616040544973243
kb_relative_information_score
13.107693374104354
kb_relative_information_score
13.226932432226828
kb_relative_information_score
13.106928955656661
kb_relative_information_score
13.392242567192882
kb_relative_information_score
13.169248847635437
kb_relative_information_score
13.14375225274367
mean_absolute_error
0.27619632430547786
mean_absolute_error
0.2760332469414366
mean_absolute_error
0.2759187380795787
mean_absolute_error
0.27592499741535104
mean_absolute_error
0.2761093134062019
mean_absolute_error
0.27616138345081953
mean_absolute_error
0.2761808635195249
mean_absolute_error
0.276013047078514
mean_absolute_error
0.2760524109748628
mean_absolute_error
0.27624239354893554
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.8317270161532456 [1,1,0.564103,1,0.57377,1]
precision
0.8610064935064935 [1,1,0.625,1,0.672727,1]
precision
0.8661989795918368 [1,1,0.642857,1,0.678571,1]
precision
0.8576124945391 [1,1,0.614679,1,0.666667,1]
precision
0.8366724738675959 [1,1,0.528455,1,0.666667,1]
precision
0.8349709711470795 [1,1,0.580357,1,0.568966,1]
precision
0.8313823349361896 [1,1,0.576271,1,0.673077,0.833333]
precision
0.8527753115648943 [1,1,0.605505,1,0.660714,1]
precision
0.8441755358989255 [1,1,0.577982,1,0.648148,1]
precision
0.7850782013685239 [1,1,0.61,0.704545,0.5625,1]
predictive_accuracy
0.725
predictive_accuracy
0.7964285714285714
predictive_accuracy
0.8107142857142857
predictive_accuracy
0.7892857142857143
predictive_accuracy
0.7321428571428571
predictive_accuracy
0.7428571428571429
predictive_accuracy
0.7526881720430108
predictive_accuracy
0.7777777777777777
predictive_accuracy
0.7670250896057348
predictive_accuracy
0.7132616487455198
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.725 [0.758621,0.558824,0.970588,0.568627,0.853659,0.357143]
recall
0.7964285714285714 [0.741379,0.705882,0.955882,0.784314,0.902439,0.5]
recall
0.8107142857142857 [0.862069,0.735294,0.926471,0.666667,0.926829,0.607143]
recall
0.7892857142857143 [0.775862,0.705882,0.985294,0.72549,0.829268,0.5]
recall
0.7321428571428571 [0.758621,0.617647,0.955882,0.596154,0.829268,0.37037]
recall
0.7428571428571429 [0.775862,0.714286,0.955882,0.588235,0.804878,0.37037]
recall
0.7526881720430108 [0.736842,0.676471,1,0.627451,0.833333,0.37037]
recall
0.7777777777777778 [0.842105,0.735294,0.970588,0.588235,0.880952,0.407407]
recall
0.7670250896057348 [0.859649,0.558824,0.926471,0.72549,0.833333,0.407407]
recall
0.7132616487455197 [0.754386,0.558824,0.897059,0.607843,0.857143,0.333333]
relative_absolute_error
1.0120603934596317
relative_absolute_error
1.0114628324977653
relative_absolute_error
1.011043240078938
relative_absolute_error
1.0110661760316177
relative_absolute_error
1.0121149999500243
relative_absolute_error
1.0120379236583812
relative_absolute_error
1.0121159538317535
relative_absolute_error
1.0115009593853679
relative_absolute_error
1.0116452156781173
relative_absolute_error
1.012341442026745
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.37056369246325316
root_mean_squared_error
0.3703454721911255
root_mean_squared_error
0.3701917580408341
root_mean_squared_error
0.37020040748912514
root_mean_squared_error
0.37044707046262376
root_mean_squared_error
0.37051756804780295
root_mean_squared_error
0.3705430723147888
root_mean_squared_error
0.3703178562883455
root_mean_squared_error
0.3703713494354605
root_mean_squared_error
0.37062570120705424
root_relative_squared_error
1.0031377513207977
root_relative_squared_error
1.0025470161853083
root_relative_squared_error
1.0021309029227148
root_relative_squared_error
1.0021543174889158
root_relative_squared_error
1.0031922437847336
root_relative_squared_error
1.003117522472658
root_relative_squared_error
1.0031931553482143
root_relative_squared_error
1.002583414691639
root_relative_squared_error
1.0027282398497739
root_relative_squared_error
1.003416861430848
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
usercpu_time_millis
1380.5770959999998
usercpu_time_millis
1364.4945750000002
usercpu_time_millis
1385.3629190000013
usercpu_time_millis
1380.6213279999984
usercpu_time_millis
1388.8116760000014
usercpu_time_millis
1374.997446000002
usercpu_time_millis
1377.730302
usercpu_time_millis
1375.249236
usercpu_time_millis
1383.0482149999987
usercpu_time_millis
1370.6545450000008
usercpu_time_millis_testing
30.76270799999925
usercpu_time_millis_testing
31.19039300000015
usercpu_time_millis_testing
30.923361000001037
usercpu_time_millis_testing
30.656460999999524
usercpu_time_millis_testing
30.989228000001035
usercpu_time_millis_testing
31.121528000001675
usercpu_time_millis_testing
30.833596999999102
usercpu_time_millis_testing
30.92772199999949
usercpu_time_millis_testing
30.62585300000009
usercpu_time_millis_testing
30.760196999999323
usercpu_time_millis_training
1349.8143880000005
usercpu_time_millis_training
1333.304182
usercpu_time_millis_training
1354.4395580000003
usercpu_time_millis_training
1349.9648669999988
usercpu_time_millis_training
1357.8224480000003
usercpu_time_millis_training
1343.8759180000002
usercpu_time_millis_training
1346.8967050000008
usercpu_time_millis_training
1344.3215140000007
usercpu_time_millis_training
1352.4223619999987
usercpu_time_millis_training
1339.8943480000014