6316258
1
Jan van Rijn
9977
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4349257
axis
0
6947
categorical_features
[6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
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strategy
"mean"
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strategy_nominal
"most_frequent"
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verbose
0
6947
categorical_features
[6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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C
73.40101527288004
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cache_size
200
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class_weight
null
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coef0
-0.23016477462832374
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decision_function_shape
null
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degree
4
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gamma
0.00012229892027614342
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kernel
"poly"
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max_iter
-1
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probability
true
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random_state
8457
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shrinking
true
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tol
0.04999864921852416
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verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
13562283
description
https://api.openml.org/data/download/13562283/description.xml
-1
13562284
predictions
https://api.openml.org/data/download/13562284/predictions.arff
area_under_roc_curve
0.9083212678525834 [0.908321,0.908321]
average_cost
0
f_measure
0.811019724392394 [0.67922,0.863716]
kappa
0.5432794987585161
kb_relative_information_score
15204.633395922605
mean_absolute_error
0.21941192638903137
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.8144180949994604 [0.651788,0.879441]
predictive_accuracy
0.8087044828086465
prior_entropy
0.8630164444447486
recall
0.8087044828086465 [0.709061,0.848544]
relative_absolute_error
0.5376551762021385
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.3480636239838181
root_relative_squared_error
0.7705454738473314
total_cost
0
area_under_roc_curve
0.9099957831186107 [0.909996,0.909996]
area_under_roc_curve
0.9069383564185776 [0.906938,0.906938]
area_under_roc_curve
0.9083255328712161 [0.908326,0.908326]
area_under_roc_curve
0.9042683303987101 [0.904268,0.904268]
area_under_roc_curve
0.9098003356604141 [0.9098,0.9098]
area_under_roc_curve
0.9093454244351542 [0.909345,0.909345]
area_under_roc_curve
0.9033880016907399 [0.903388,0.903388]
area_under_roc_curve
0.916034703096828 [0.916035,0.916035]
area_under_roc_curve
0.9062237885782596 [0.906224,0.906224]
area_under_roc_curve
0.9089949756625917 [0.908995,0.908995]
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
0.8140581798216631 [0.688634,0.864167]
f_measure
0.8057728855167491 [0.670874,0.859743]
f_measure
0.8136444976501931 [0.686237,0.864618]
f_measure
0.8033549300357865 [0.668912,0.857143]
f_measure
0.813794064285969 [0.684466,0.865536]
f_measure
0.8128603046184433 [0.682547,0.864943]
f_measure
0.806092837795043 [0.670244,0.860388]
f_measure
0.8181423566062901 [0.686849,0.870617]
f_measure
0.8043632175876633 [0.668607,0.858621]
f_measure
0.818043961999384 [0.685,0.871218]
kappa
0.5535061024670916
kappa
0.5309987618074803
kappa
0.5513775796182412
kappa
0.5266070165296779
kappa
0.5503675445056962
kappa
0.5478506288632078
kappa
0.5309499091094334
kappa
0.5575652707540387
kappa
0.5276391974583906
kappa
0.5562647572453578
kb_relative_information_score
1522.6742039942255
kb_relative_information_score
1498.7931648942322
kb_relative_information_score
1517.7213935262914
kb_relative_information_score
1462.3566646565378
kb_relative_information_score
1551.6825065312776
kb_relative_information_score
1536.1586057466966
kb_relative_information_score
1475.1571400361959
kb_relative_information_score
1614.1592112704054
kb_relative_information_score
1465.2138871123366
kb_relative_information_score
1560.716618154306
mean_absolute_error
0.2188565967182596
mean_absolute_error
0.22131648611731705
mean_absolute_error
0.21937652789658119
mean_absolute_error
0.22553057742313679
mean_absolute_error
0.21601399651705938
mean_absolute_error
0.21734548704320072
mean_absolute_error
0.224860492562507
mean_absolute_error
0.2101349983269959
mean_absolute_error
0.22525581887508175
mean_absolute_error
0.21542711161715977
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.81954657359156 [0.64955,0.887463]
precision
0.8093976483522912 [0.642791,0.876054]
precision
0.8181226714736978 [0.652333,0.884452]
precision
0.8079552106836257 [0.635865,0.876805]
precision
0.8173347253115599 [0.655814,0.881956]
precision
0.8163656746154824 [0.65424,0.881163]
precision
0.8093212632166578 [0.644465,0.87521]
precision
0.8197246408850942 [0.671193,0.879089]
precision
0.8081611556811625 [0.63974,0.875475]
precision
0.8190620279427518 [0.674213,0.876955]
predictive_accuracy
0.810850014505367
predictive_accuracy
0.803307223672759
predictive_accuracy
0.810850014505367
predictive_accuracy
0.8004061502756019
predictive_accuracy
0.8114302291847985
predictive_accuracy
0.8105049332559489
predictive_accuracy
0.803830528148578
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.8171793383633198
prior_entropy
0.8630164444447486
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
0.8630164444447486
recall
0.810850014505367 [0.732724,0.842063]
recall
0.803307223672759 [0.701523,0.844029]
recall
0.810850014505367 [0.723858,0.845654]
recall
0.800406150275602 [0.705584,0.838343]
recall
0.8114302291847983 [0.715736,0.849716]
recall
0.810504933255949 [0.713415,0.84931]
recall
0.803830528148578 [0.698171,0.84606]
recall
0.8168891468369124 [0.703252,0.862307]
recall
0.801799187463726 [0.700203,0.842405]
recall
0.8171793383633198 [0.696138,0.865556]
relative_absolute_error
0.5363831135711646
relative_absolute_error
0.5422466230308823
relative_absolute_error
0.5374935392797812
relative_absolute_error
0.5525715510098729
relative_absolute_error
0.5292550148148005
relative_absolute_error
0.5326332589989209
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.5520185514229601
relative_absolute_error
0.5279320316163963
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
0.7735948928769584
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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usercpu_time_millis
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usercpu_time_millis
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