10362789
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)
8218261
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
2.5398733497134227
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.3172378279542837
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0015977760264046428
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
48740
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
21647280
description
https://api.openml.org/data/download/21647280/description.xml
-1
21647281
predictions
https://api.openml.org/data/download/21647281/predictions.arff
area_under_roc_curve
0.7870916321200053 [0.787092,0.787092]
average_cost
0
f_measure
0.7885944914407759 [0.769141,0.805016]
kappa
0.574157206374221
kb_relative_information_score
0.5727920363333684
mean_absolute_error
0.2114102905891762
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.788599385930086 [0.768917,0.805214]
predictive_accuracy
0.7885897094108237
prior_entropy
0.9948419333531207
recall
0.7885897094108237 [0.769365,0.804818]
relative_absolute_error
0.42586048779804353
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.45979374787960764
root_relative_squared_error
0.9228890718161661
total_cost
0
area_under_roc_curve
0.7914956680346558 [0.791496,0.791496]
area_under_roc_curve
0.7755899873983274 [0.77559,0.77559]
area_under_roc_curve
0.7999770878680262 [0.799977,0.799977]
area_under_roc_curve
0.7977145148356055 [0.797715,0.797715]
area_under_roc_curve
0.8124928399587582 [0.812493,0.812493]
area_under_roc_curve
0.7836235536716691 [0.783624,0.783624]
area_under_roc_curve
0.7751460648413334 [0.775146,0.775146]
area_under_roc_curve
0.7826367389060888 [0.782637,0.782637]
area_under_roc_curve
0.7795407636738905 [0.779541,0.779541]
area_under_roc_curve
0.7727468180254558 [0.772747,0.772747]
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
0.7926417960090706 [0.774566,0.807882]
f_measure
0.7782436587369445 [0.753709,0.799031]
f_measure
0.8023520805806093 [0.781065,0.820388]
f_measure
0.7975995127150906 [0.784091,0.809045]
f_measure
0.8134107861653217 [0.797688,0.826733]
f_measure
0.784200644520504 [0.767908,0.798005]
f_measure
0.7780935323383082 [0.752239,0.8]
f_measure
0.7860056493918256 [0.759036,0.808612]
f_measure
0.779048872207277 [0.764873,0.790932]
f_measure
0.7735602577212692 [0.755043,0.789082]
kappa
0.5824601366742596
kappa
0.5528980823098469
kappa
0.6015564425810527
kappa
0.5933219178082192
kappa
0.6244312816550778
kappa
0.565990826867847
kappa
0.5524995327304357
kappa
0.5679599066793397
kappa
0.5561877058647388
kappa
0.5442065977435545
kb_relative_information_score
0.58077059709083
kb_relative_information_score
0.5528412676078192
kb_relative_information_score
0.6013283590720299
kb_relative_information_score
0.5905534498577604
kb_relative_information_score
0.6228781775005681
kb_relative_information_score
0.563616176822088
kb_relative_information_score
0.5528412676078192
kb_relative_information_score
0.5687212763418708
kb_relative_information_score
0.5525483242046907
kb_relative_information_score
0.5417663561132382
mean_absolute_error
0.2074468085106383
mean_absolute_error
0.22133333333333333
mean_absolute_error
0.19733333333333333
mean_absolute_error
0.20266666666666666
mean_absolute_error
0.18666666666666668
mean_absolute_error
0.216
mean_absolute_error
0.22133333333333333
mean_absolute_error
0.21333333333333335
mean_absolute_error
0.22133333333333333
mean_absolute_error
0.22666666666666666
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
0.7927753523701601 [0.770115,0.811881]
precision
0.7783676767676767 [0.769697,0.785714]
precision
0.8024517591898697 [0.795181,0.808612]
precision
0.7985914529914528 [0.766667,0.825641]
precision
0.813534625721965 [0.793103,0.830846]
precision
0.7846802488158421 [0.757062,0.808081]
precision
0.7784263610757419 [0.773006,0.783019]
precision
0.7864770418529055 [0.782609,0.78972]
precision
0.7807702556510847 [0.741758,0.813472]
precision
0.7740623572407491 [0.744318,0.798995]
predictive_accuracy
0.7925531914893617
predictive_accuracy
0.7786666666666666
predictive_accuracy
0.8026666666666666
predictive_accuracy
0.7973333333333333
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.784
predictive_accuracy
0.7786666666666666
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.7786666666666666
predictive_accuracy
0.7733333333333333
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
0.7925531914893617 [0.77907,0.803922]
recall
0.7786666666666666 [0.738372,0.812808]
recall
0.8026666666666666 [0.767442,0.832512]
recall
0.7973333333333333 [0.802326,0.793103]
recall
0.8133333333333334 [0.802326,0.82266]
recall
0.784 [0.77907,0.788177]
recall
0.7786666666666666 [0.732558,0.817734]
recall
0.7866666666666666 [0.736842,0.828431]
recall
0.7786666666666666 [0.789474,0.769608]
recall
0.7733333333333333 [0.766082,0.779412]
relative_absolute_error
0.4178977061836538
relative_absolute_error
0.44577932206979654
relative_absolute_error
0.39744180521885475
relative_absolute_error
0.4081834756301751
relative_absolute_error
0.37595846439621394
relative_absolute_error
0.4350376516584762
relative_absolute_error
0.44577932206979654
relative_absolute_error
0.42986182399202816
relative_absolute_error
0.4459816423917292
relative_absolute_error
0.45672818799152987
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
0.45546328997037544
root_mean_squared_error
0.4704607670500627
root_mean_squared_error
0.44422216663887154
root_mean_squared_error
0.4501851470969102
root_mean_squared_error
0.43204937989385733
root_mean_squared_error
0.46475800154489
root_mean_squared_error
0.4704607670500627
root_mean_squared_error
0.46188021535170065
root_mean_squared_error
0.4704607670500627
root_mean_squared_error
0.4760952285695233
root_relative_squared_error
0.9142433853959671
root_relative_squared_error
0.944151592412003
root_relative_squared_error
0.8914942443482649
root_relative_squared_error
0.9034611454998326
root_relative_squared_error
0.86706509574686
root_relative_squared_error
0.932706907732721
root_relative_squared_error
0.944151592412003
root_relative_squared_error
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root_relative_squared_error
0.9445801344246856
root_relative_squared_error
0.9558928745981855
total_cost
0
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0
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