10330586
8323
Heinrich Peters
9910
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8186165
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
37.46598863333101
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.45316381066393663
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.006595466389973624
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
62110
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
4134
Bioresponse
https://www.openml.org/data/download/1681097/phpSSK7iA
-1
21582871
description
https://api.openml.org/data/download/21582871/description.xml
-1
21582872
predictions
https://api.openml.org/data/download/21582872/predictions.arff
area_under_roc_curve
0.6888453941698177 [0.688845,0.688845]
average_cost
0
f_measure
0.6921377360721287 [0.607586,0.763512]
kappa
0.3884991167723423
kb_relative_information_score
0.4036327669874263
mean_absolute_error
0.2951213009864036
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.7214112689331766 [0.776268,0.675104]
predictive_accuracy
0.7048786990135963
prior_entropy
0.9948419333531207
recall
0.7048786990135963 [0.499126,0.878564]
relative_absolute_error
0.5944862042779749
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.5432506796925372
root_relative_squared_error
1.0904022028507945
total_cost
0
area_under_roc_curve
0.7251481988144096 [0.725148,0.725148]
area_under_roc_curve
0.6864045136899989 [0.686405,0.686405]
area_under_roc_curve
0.6577786688051324 [0.657779,0.657779]
area_under_roc_curve
0.7174934127620576 [0.717493,0.717493]
area_under_roc_curve
0.7092164050864934 [0.709216,0.709216]
area_under_roc_curve
0.6680748081108947 [0.668075,0.668075]
area_under_roc_curve
0.6913306220643831 [0.691331,0.691331]
area_under_roc_curve
0.6790505675954591 [0.679051,0.679051]
area_under_roc_curve
0.6863175094599243 [0.686318,0.686318]
area_under_roc_curve
0.6672686618507052 [0.667269,0.667269]
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
0.730327486160208 [0.662069,0.787879]
f_measure
0.6897156177156177 [0.608392,0.758621]
f_measure
0.6587937243425598 [0.561151,0.741525]
f_measure
0.7222548400186206 [0.65529,0.778993]
f_measure
0.7137164164224042 [0.643836,0.772926]
f_measure
0.6691410750321042 [0.572464,0.751055]
f_measure
0.6945648713453826 [0.612676,0.763948]
f_measure
0.6806456808538593 [0.579926,0.765073]
f_measure
0.6896090245075217 [0.599278,0.765328]
f_measure
0.6696173179233168 [0.572464,0.751055]
kappa
0.4616643291257598
kappa
0.382661610371285
kappa
0.3250818753134865
kappa
0.4450630759988865
kappa
0.4283201407211962
kappa
0.3466127222255035
kappa
0.393132466309657
kappa
0.37090811918229194
kappa
0.3844549931236413
kappa
0.3453173546382601
kb_relative_information_score
0.47327587839617535
kb_relative_information_score
0.39660508400091793
kb_relative_information_score
0.3427305379295731
kb_relative_information_score
0.4558670846793981
kb_relative_information_score
0.43970472085799434
kb_relative_information_score
0.3642803563581111
kb_relative_information_score
0.40737999321518714
kb_relative_information_score
0.39081880283289905
kb_relative_information_score
0.4016007709243518
kb_relative_information_score
0.36386388260426694
mean_absolute_error
0.26063829787234044
mean_absolute_error
0.2986666666666667
mean_absolute_error
0.3253333333333333
mean_absolute_error
0.2693333333333333
mean_absolute_error
0.2773333333333333
mean_absolute_error
0.31466666666666665
mean_absolute_error
0.29333333333333333
mean_absolute_error
0.30133333333333334
mean_absolute_error
0.296
mean_absolute_error
0.31466666666666665
mean_prior_absolute_error
0.4964057123095849
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4965087485567102
mean_prior_absolute_error
0.4962835065281108
mean_prior_absolute_error
0.4962835065281108
mean_prior_absolute_error
0.4962835065281108
number_of_instances
376 [172,204]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [172,203]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
number_of_instances
375 [171,204]
precision
0.7548914365266397 [0.813559,0.705426]
precision
0.7150721247563353 [0.763158,0.67433]
precision
0.6896779593649902 [0.735849,0.650558]
precision
0.7432604064987745 [0.793388,0.700787]
precision
0.735037908496732 [0.783333,0.694118]
precision
0.7039723720314126 [0.759615,0.656827]
precision
0.7226634075683506 [0.776786,0.676806]
precision
0.7242961762322256 [0.795918,0.66426]
precision
0.7230937784947746 [0.783019,0.672862]
precision
0.7017227513227513 [0.752381,0.659259]
predictive_accuracy
0.7393617021276596
predictive_accuracy
0.7013333333333334
predictive_accuracy
0.6746666666666666
predictive_accuracy
0.7306666666666666
predictive_accuracy
0.7226666666666667
predictive_accuracy
0.6853333333333333
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.6986666666666665
predictive_accuracy
0.7040000000000001
predictive_accuracy
0.6853333333333333
prior_entropy
0.9947691829105159
prior_entropy
0.9950671927429882
prior_entropy
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prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
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0.9950671927429882
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
recall
0.7393617021276596 [0.55814,0.892157]
recall
0.7013333333333334 [0.505814,0.866995]
recall
0.6746666666666666 [0.453488,0.862069]
recall
0.7306666666666667 [0.55814,0.876847]
recall
0.7226666666666667 [0.546512,0.871921]
recall
0.6853333333333333 [0.459302,0.876847]
recall
0.7066666666666667 [0.505814,0.876847]
recall
0.6986666666666667 [0.45614,0.901961]
recall
0.704 [0.48538,0.887255]
recall
0.6853333333333333 [0.461988,0.872549]
relative_absolute_error
0.5250509641794625
relative_absolute_error
0.6015335430339424
relative_absolute_error
0.6552418950905442
relative_absolute_error
0.54245435577168
relative_absolute_error
0.5585668613886606
relative_absolute_error
0.6337585542679034
relative_absolute_error
0.5907918726226219
relative_absolute_error
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relative_absolute_error
0.596433280788939
relative_absolute_error
0.6340461903882415
root_mean_prior_squared_error
0.4981860380352768
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
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0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
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root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4980633721845164
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root_mean_prior_squared_error
0.4980633721845164
root_mean_squared_error
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0.5465040408511787
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0.5489383693397041
root_mean_squared_error
0.5440588203494178
root_mean_squared_error
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root_relative_squared_error
1.0247727380237828
root_relative_squared_error
1.096760232876821
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
1.1021456304486894
root_relative_squared_error
1.0923485860105802
root_relative_squared_error
1.1262654589889998
total_cost
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