10330478
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)
8186074
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
1066.720249983584
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5152191769846266
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.08929278293093357
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
19482
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
21582654
description
https://api.openml.org/data/download/21582654/description.xml
-1
21582655
predictions
https://api.openml.org/data/download/21582655/predictions.arff
area_under_roc_curve
0.6838198786042061 [0.68382,0.68382]
average_cost
0
f_measure
0.6863481598811801 [0.655738,0.712188]
kappa
0.3679403357190448
kb_relative_information_score
0.36646082563433624
mean_absolute_error
0.31351639562783257
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.6862443736387726 [0.659211,0.709064]
predictive_accuracy
0.6864836043721674
prior_entropy
0.9948419333531207
recall
0.6864836043721674 [0.652301,0.715339]
relative_absolute_error
0.6315408999375777
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.5599253482633489
root_relative_squared_error
1.1238712734310845
total_cost
0
area_under_roc_curve
0.7124943000455997 [0.712494,0.712494]
area_under_roc_curve
0.6610436476114102 [0.661044,0.661044]
area_under_roc_curve
0.6878938022683011 [0.687894,0.687894]
area_under_roc_curve
0.7184958185359148 [0.718496,0.718496]
area_under_roc_curve
0.6695211364417459 [0.669521,0.669521]
area_under_roc_curve
0.6592249971359835 [0.659225,0.659225]
area_under_roc_curve
0.6856312292358804 [0.685631,0.685631]
area_under_roc_curve
0.6809855521155831 [0.680986,0.680986]
area_under_roc_curve
0.7141812865497077 [0.714181,0.714181]
area_under_roc_curve
0.6486498108015136 [0.64865,0.64865]
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
0.7131576402321083 [0.693182,0.73]
f_measure
0.6650061247524228 [0.620061,0.703088]
f_measure
0.6918056347722289 [0.650456,0.726841]
f_measure
0.7178127161479116 [0.703911,0.729592]
f_measure
0.6719248142921612 [0.641399,0.697789]
f_measure
0.6614060475934872 [0.631884,0.68642]
f_measure
0.6879284818876655 [0.658892,0.712531]
f_measure
0.684590511285122 [0.646707,0.716346]
f_measure
0.717032917791693 [0.686391,0.742718]
f_measure
0.6508916800858828 [0.62029,0.676543]
kappa
0.4234438891412993
kappa
0.3242463995848169
kappa
0.37830668761803166
kappa
0.4342925454700709
kappa
0.33919284823999657
kappa
0.318308689864449
kappa
0.37142734344780143
kappa
0.3633459944751381
kappa
0.4291745648802345
kappa
0.2968783545880029
kb_relative_information_score
0.41952851904884725
kb_relative_information_score
0.32656817410816896
kb_relative_information_score
0.3804427201795143
kb_relative_information_score
0.42892981164372374
kb_relative_information_score
0.3373430833224381
kb_relative_information_score
0.3157932648938999
kb_relative_information_score
0.3696678109652447
kb_relative_information_score
0.3638638826042665
kb_relative_information_score
0.42855569115298314
kb_relative_information_score
0.2937810900098227
mean_absolute_error
0.2872340425531915
mean_absolute_error
0.3333333333333333
mean_absolute_error
0.30666666666666664
mean_absolute_error
0.2826666666666667
mean_absolute_error
0.328
mean_absolute_error
0.33866666666666667
mean_absolute_error
0.312
mean_absolute_error
0.31466666666666665
mean_absolute_error
0.2826666666666667
mean_absolute_error
0.34933333333333333
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
0.7141940464128914 [0.677778,0.744898]
precision
0.6654979645104111 [0.649682,0.678899]
precision
0.6925210853347358 [0.681529,0.701835]
precision
0.720289924332935 [0.677419,0.756614]
precision
0.6718591904598097 [0.643275,0.696078]
precision
0.6614881626891012 [0.630058,0.688119]
precision
0.6878667583992661 [0.660819,0.710784]
precision
0.6844745919666628 [0.662577,0.70283]
precision
0.7168963611239061 [0.694611,0.735577]
precision
0.6511998627551896 [0.614943,0.681592]
predictive_accuracy
0.7127659574468085
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.6933333333333332
predictive_accuracy
0.7173333333333334
predictive_accuracy
0.672
predictive_accuracy
0.6613333333333334
predictive_accuracy
0.688
predictive_accuracy
0.6853333333333333
predictive_accuracy
0.7173333333333334
predictive_accuracy
0.6506666666666666
prior_entropy
0.9947691829105159
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.9950671927429882
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
prior_entropy
0.994415729388281
recall
0.7127659574468085 [0.709302,0.715686]
recall
0.6666666666666666 [0.593023,0.729064]
recall
0.6933333333333334 [0.622093,0.753695]
recall
0.7173333333333334 [0.732558,0.704433]
recall
0.672 [0.639535,0.699507]
recall
0.6613333333333333 [0.633721,0.684729]
recall
0.688 [0.656977,0.714286]
recall
0.6853333333333333 [0.631579,0.730392]
recall
0.7173333333333334 [0.678363,0.75]
recall
0.6506666666666666 [0.625731,0.671569]
relative_absolute_error
0.5786275931773669
relative_absolute_error
0.6713544007075248
relative_absolute_error
0.6176460486509229
relative_absolute_error
0.5693085317999812
relative_absolute_error
0.6606127302962047
relative_absolute_error
0.6820960711188454
relative_absolute_error
0.6283877190622433
relative_absolute_error
0.6340461903882415
relative_absolute_error
0.5695669167894374
relative_absolute_error
0.703898736786946
root_mean_prior_squared_error
0.4981860380352768
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4982894387205206
root_mean_prior_squared_error
0.4980633721845164
root_mean_prior_squared_error
0.4980633721845164
root_mean_prior_squared_error
0.4980633721845164
root_mean_squared_error
0.5359422007578724
root_mean_squared_error
0.5773502691896257
root_mean_squared_error
0.5537749241945383
root_mean_squared_error
0.5316640543300503
root_mean_squared_error
0.5727128425310541
root_mean_squared_error
0.5819507424745385
root_mean_squared_error
0.5585696017507576
root_mean_squared_error
0.5609515724790034
root_mean_squared_error
0.5316640543300503
root_mean_squared_error
0.5910442735813733
root_relative_squared_error
1.0757872759170382
root_relative_squared_error
1.1586644715411047
root_relative_squared_error
1.1113519195118606
root_relative_squared_error
1.066978372439976
root_relative_squared_error
1.149357778887776
root_relative_squared_error
1.1678970037350955
root_relative_squared_error
1.120974193603262
root_relative_squared_error
1.1262654589889998
root_relative_squared_error
1.0674626644359744
root_relative_squared_error
1.186684881060498
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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total_cost
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total_cost
0
total_cost
0
total_cost
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total_cost
0
usercpu_time_millis
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wall_clock_time_millis
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