10391174
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)
8232325
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
13917.287565392886
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.030380904322180546
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.0011255179130262153
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
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
21704057
description
https://api.openml.org/data/download/21704057/description.xml
-1
21704058
predictions
https://api.openml.org/data/download/21704058/predictions.arff
area_under_roc_curve
0.7501841152360942 [0.750184,0.750184]
average_cost
0
f_measure
0.7543368986559801 [0.719363,0.78386]
kappa
0.504258775166047
kb_relative_information_score
0.5065290104430861
mean_absolute_error
0.24420154625433219
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.756036771292957 [0.758888,0.75363]
predictive_accuracy
0.7557984537456679
prior_entropy
0.9948419333531207
recall
0.7557984537456678 [0.683751,0.816618]
relative_absolute_error
0.4919145104955963
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.49416752853089424
root_relative_squared_error
0.9918834560729628
total_cost
0
area_under_roc_curve
0.7679548563611491 [0.767955,0.767955]
area_under_roc_curve
0.7514463283308512 [0.751446,0.751446]
area_under_roc_curve
0.7084860808798259 [0.708486,0.708486]
area_under_roc_curve
0.7751460648413334 [0.775146,0.775146]
area_under_roc_curve
0.7469641425134608 [0.746964,0.746964]
area_under_roc_curve
0.7503150418146408 [0.750315,0.750315]
area_under_roc_curve
0.7485393515866652 [0.748539,0.748539]
area_under_roc_curve
0.7564069487444101 [0.756407,0.756407]
area_under_roc_curve
0.7616099071207431 [0.76161,0.76161]
area_under_roc_curve
0.7348211214310284 [0.734821,0.734821]
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
0.7723576737179807 [0.738462,0.800937]
f_measure
0.7556643137254904 [0.72,0.785882]
f_measure
0.7127041930618402 [0.670769,0.748235]
f_measure
0.7780935323383082 [0.752239,0.8]
f_measure
0.7507645568158026 [0.717325,0.779097]
f_measure
0.753754462827386 [0.722892,0.779904]
f_measure
0.7528536486408163 [0.716049,0.784038]
f_measure
0.7620878117316473 [0.717949,0.799087]
f_measure
0.7647793643482266 [0.736527,0.788462]
f_measure
0.7394803691968591 [0.69969,0.772834]
kappa
0.5405933762649494
kappa
0.5071703998960183
kappa
0.42051904163597764
kappa
0.5524995327304357
kappa
0.4972393212911038
kappa
0.5033112582781458
kappa
0.5015315263249148
kappa
0.5201954113233882
kappa
0.525207182320442
kappa
0.47390115850219106
kb_relative_information_score
0.543147445547701
kb_relative_information_score
0.509741630750743
kb_relative_information_score
0.42354235703659043
kb_relative_information_score
0.5528412676078192
kb_relative_information_score
0.4989667215364739
kb_relative_information_score
0.5043541761436081
kb_relative_information_score
0.5043541761436087
kb_relative_information_score
0.5255934039760596
kb_relative_information_score
0.525593403976059
kb_relative_information_score
0.4770745475645212
mean_absolute_error
0.22606382978723405
mean_absolute_error
0.24266666666666667
mean_absolute_error
0.2853333333333333
mean_absolute_error
0.22133333333333333
mean_absolute_error
0.248
mean_absolute_error
0.24533333333333332
mean_absolute_error
0.24533333333333332
mean_absolute_error
0.23466666666666666
mean_absolute_error
0.23466666666666666
mean_absolute_error
0.25866666666666666
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
0.774820356536852 [0.784314,0.766816]
precision
0.7579643172584349 [0.764706,0.752252]
precision
0.7144742389448272 [0.712418,0.716216]
precision
0.7784263610757419 [0.773006,0.783019]
precision
0.7519719511482499 [0.751592,0.752294]
precision
0.7544062015503875 [0.75,0.75814]
precision
0.755428211785068 [0.763158,0.748879]
precision
0.7690503727950536 [0.794326,0.747863]
precision
0.7649283481884477 [0.754601,0.773585]
precision
0.7415112107623317 [0.743421,0.73991]
predictive_accuracy
0.773936170212766
predictive_accuracy
0.7573333333333333
predictive_accuracy
0.7146666666666667
predictive_accuracy
0.7786666666666666
predictive_accuracy
0.752
predictive_accuracy
0.7546666666666667
predictive_accuracy
0.7546666666666667
predictive_accuracy
0.7653333333333333
predictive_accuracy
0.7653333333333333
predictive_accuracy
0.7413333333333334
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
0.773936170212766 [0.697674,0.838235]
recall
0.7573333333333333 [0.680233,0.82266]
recall
0.7146666666666667 [0.633721,0.783251]
recall
0.7786666666666666 [0.732558,0.817734]
recall
0.752 [0.686047,0.807882]
recall
0.7546666666666667 [0.697674,0.802956]
recall
0.7546666666666667 [0.674419,0.82266]
recall
0.7653333333333333 [0.654971,0.857843]
recall
0.7653333333333333 [0.719298,0.803922]
recall
0.7413333333333333 [0.660819,0.808824]
relative_absolute_error
0.4554013464821869
relative_absolute_error
0.4887460037150781
relative_absolute_error
0.5746793670056413
relative_absolute_error
0.44577932206979654
relative_absolute_error
0.49948767412639855
relative_absolute_error
0.4941168389207383
relative_absolute_error
0.4941168389207383
relative_absolute_error
0.472848006391231
relative_absolute_error
0.472848006391231
relative_absolute_error
0.5212074615903342
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
0.47546170170396906
root_mean_squared_error
0.49261208538429774
root_mean_squared_error
0.5341660166402701
root_mean_squared_error
0.4704607670500627
root_mean_squared_error
0.4979959839195493
root_mean_squared_error
0.4953113498935123
root_mean_squared_error
0.4953113498935123
root_mean_squared_error
0.4844240566555987
root_mean_squared_error
0.4844240566555987
root_mean_squared_error
0.508592829940284
root_relative_squared_error
0.9543858426443925
root_relative_squared_error
0.9886063141318009
root_relative_squared_error
1.0719994748672002
root_relative_squared_error
0.944151592412003
root_relative_squared_error
0.9994110756155602
root_relative_squared_error
0.9940233755813582
root_relative_squared_error
0.9940233755813582
root_relative_squared_error
0.9726153010025703
root_relative_squared_error
0.9726153010025703
root_relative_squared_error
1.0211407992312005
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
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total_cost
0
usercpu_time_millis
37742.074714000184
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
37743.66760253906
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