10330618
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)
8186187
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
100000.0
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.00194197897644
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
10872
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
21582935
description
https://api.openml.org/data/download/21582935/description.xml
-1
21582936
predictions
https://api.openml.org/data/download/21582936/predictions.arff
area_under_roc_curve
0.7657240997394898 [0.765724,0.765724]
average_cost
0
f_measure
0.7659715417622288 [0.749644,0.779754]
kappa
0.5295974627505559
kb_relative_information_score
0.5264617905889449
mean_absolute_error
0.23433750999733405
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.7669257382012511 [0.733556,0.795095]
predictive_accuracy
0.765662490002666
prior_entropy
0.9948419333531207
recall
0.765662490002666 [0.766453,0.764995]
relative_absolute_error
0.4720446012288528
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.48408419721917595
root_relative_squared_error
0.9716443894958262
total_cost
0
area_under_roc_curve
0.7839717282261743 [0.783972,0.783972]
area_under_roc_curve
0.7572173215717722 [0.757217,0.757217]
area_under_roc_curve
0.7570168404170008 [0.757017,0.757017]
area_under_roc_curve
0.7598808569137357 [0.759881,0.759881]
area_under_roc_curve
0.7675134608775347 [0.767513,0.767513]
area_under_roc_curve
0.7654943292473366 [0.765494,0.765494]
area_under_roc_curve
0.7377563294764578 [0.737756,0.737756]
area_under_roc_curve
0.7767027863777091 [0.776703,0.776703]
area_under_roc_curve
0.7819057447540421 [0.781906,0.781906]
area_under_roc_curve
0.7698228414172686 [0.769823,0.769823]
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
0.7823105128576252 [0.772222,0.790816]
f_measure
0.7576244314489927 [0.740741,0.77193]
f_measure
0.759617395300741 [0.733728,0.781553]
f_measure
0.7577271801880682 [0.749311,0.764858]
f_measure
0.7682155070775782 [0.750716,0.783042]
f_measure
0.7656415410385259 [0.75,0.778894]
f_measure
0.7388684165379997 [0.718391,0.756219]
f_measure
0.7786127096343989 [0.756598,0.797066]
f_measure
0.7790637025647597 [0.77135,0.78553]
f_measure
0.7708569793395524 [0.751445,0.787129]
kappa
0.5638297872340425
kappa
0.5128410112920955
kappa
0.5154064842201993
kappa
0.5154144360347055
kappa
0.5338419992284281
kappa
0.5291095890410958
kappa
0.4746697924409629
kappa
0.5536674553667454
kappa
0.5582662749606164
kappa
0.5386266094420602
kb_relative_information_score
0.5592716533518982
kb_relative_information_score
0.5097416307507426
kb_relative_information_score
0.5151290853578773
kb_relative_information_score
0.5097416307507422
kb_relative_information_score
0.5312914491792807
kb_relative_information_score
0.525903994572146
kb_relative_information_score
0.47202944850080103
kb_relative_information_score
0.5525483242046915
kb_relative_information_score
0.5525483242046909
kb_relative_information_score
0.5363753720675116
mean_absolute_error
0.21808510638297873
mean_absolute_error
0.24266666666666667
mean_absolute_error
0.24
mean_absolute_error
0.24266666666666667
mean_absolute_error
0.232
mean_absolute_error
0.23466666666666666
mean_absolute_error
0.2613333333333333
mean_absolute_error
0.22133333333333333
mean_absolute_error
0.22133333333333333
mean_absolute_error
0.22933333333333333
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
0.7855364418288819 [0.739362,0.824468]
precision
0.7584432029795158 [0.726257,0.785714]
precision
0.7596264483772411 [0.746988,0.770335]
precision
0.7620101676910235 [0.712042,0.804348]
precision
0.7687042173143869 [0.740113,0.792929]
precision
0.7666461538461539 [0.733333,0.794872]
precision
0.7392383127760013 [0.710227,0.763819]
precision
0.7785698708751795 [0.758824,0.795122]
precision
0.7843469945355191 [0.729167,0.830601]
precision
0.7712228571428571 [0.742857,0.795]
predictive_accuracy
0.7819148936170213
predictive_accuracy
0.7573333333333333
predictive_accuracy
0.76
predictive_accuracy
0.7573333333333333
predictive_accuracy
0.768
predictive_accuracy
0.7653333333333333
predictive_accuracy
0.7386666666666666
predictive_accuracy
0.7786666666666666
predictive_accuracy
0.7786666666666666
predictive_accuracy
0.7706666666666666
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
0.7819148936170213 [0.80814,0.759804]
recall
0.7573333333333333 [0.755814,0.758621]
recall
0.76 [0.72093,0.793103]
recall
0.7573333333333333 [0.790698,0.729064]
recall
0.768 [0.761628,0.773399]
recall
0.7653333333333333 [0.767442,0.763547]
recall
0.7386666666666667 [0.726744,0.748768]
recall
0.7786666666666666 [0.754386,0.79902]
recall
0.7786666666666666 [0.818713,0.745098]
recall
0.7706666666666667 [0.760234,0.779412]
relative_absolute_error
0.4393283577828156
relative_absolute_error
0.4887460037150781
relative_absolute_error
0.483375168509418
relative_absolute_error
0.4887460037150781
relative_absolute_error
0.4672626628924374
relative_absolute_error
0.4726334980980975
relative_absolute_error
0.5263418501546995
relative_absolute_error
0.4459816423917292
relative_absolute_error
0.4459816423917292
relative_absolute_error
0.4621014607914303
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
0.4669958312265525
root_mean_squared_error
0.49261208538429774
root_mean_squared_error
0.4898979485566356
root_mean_squared_error
0.49261208538429774
root_mean_squared_error
0.48166378315169184
root_mean_squared_error
0.4844240566555987
root_mean_squared_error
0.511207720338155
root_mean_squared_error
0.4704607670500627
root_mean_squared_error
0.4704607670500627
root_mean_squared_error
0.4788875998951459
root_relative_squared_error
0.9373924509572152
root_relative_squared_error
0.9886063141318009
root_relative_squared_error
0.9831594059359713
root_relative_squared_error
0.9886063141318009
root_relative_squared_error
0.966634541539714
root_relative_squared_error
0.9721740398501627
root_relative_squared_error
1.025925256715866
root_relative_squared_error
0.9445801344246856
root_relative_squared_error
0.9445801344246856
root_relative_squared_error
0.9614993324940455
total_cost
0
total_cost
0
total_cost
0
total_cost
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0
total_cost
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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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