10330414
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)
8186024
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
5.3824120488001554
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.06797377929157812
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
62615
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
21582525
description
https://api.openml.org/data/download/21582525/description.xml
-1
21582526
predictions
https://api.openml.org/data/download/21582526/predictions.arff
area_under_roc_curve
0.5376449800107549 [0.537645,0.537645]
average_cost
0
f_measure
0.46005661683123916 [0.155968,0.716753]
kappa
0.0809831278605508
kb_relative_information_score
0.1428904537280535
mean_absolute_error
0.4241535590509198
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.7051762938572227 [0.875,0.56182]
predictive_accuracy
0.5758464409490802
prior_entropy
0.9948419333531207
recall
0.5758464409490802 [0.085614,0.989676]
relative_absolute_error
0.8544060984699713
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.6512707263887421
root_relative_squared_error
1.307217940543475
total_cost
0
area_under_roc_curve
0.5494186046511628 [0.549419,0.549419]
area_under_roc_curve
0.5241436590674762 [0.524144,0.524144]
area_under_roc_curve
0.5304015351128423 [0.530402,0.530402]
area_under_roc_curve
0.5377906976744186 [0.537791,0.537791]
area_under_roc_curve
0.5337524344140221 [0.533752,0.533752]
area_under_roc_curve
0.5424733646465804 [0.542473,0.542473]
area_under_roc_curve
0.5319767441860465 [0.531977,0.531977]
area_under_roc_curve
0.538484692122463 [0.538485,0.538485]
area_under_roc_curve
0.545751633986928 [0.545752,0.545752]
area_under_roc_curve
0.5423546611627107 [0.542355,0.542355]
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
0.47547443787192856 [0.179894,0.724689]
f_measure
0.4343356378347929 [0.108696,0.710247]
f_measure
0.448723252820474 [0.138298,0.711744]
f_measure
0.45345477158574504 [0.140541,0.718584]
f_measure
0.4574634709825262 [0.157068,0.711986]
f_measure
0.47261460110262304 [0.185567,0.715827]
f_measure
0.4427616541860622 [0.120219,0.716049]
f_measure
0.46024799816975526 [0.150538,0.719858]
f_measure
0.48068649410368613 [0.195876,0.719424]
f_measure
0.47238565501222257 [0.17801,0.719141]
kappa
0.1063542688910697
kappa
0.051979282278949386
kappa
0.06532709705212625
kappa
0.08132135648583254
kappa
0.07242391187451025
kappa
0.09100671964652808
kappa
0.06887617402569365
kappa
0.08310120705663888
kappa
0.09839097466247447
kappa
0.09122482056031488
kb_relative_information_score
0.16691593011640843
kb_relative_information_score
0.11645744442992216
kb_relative_information_score
0.12723235364419141
kb_relative_information_score
0.14339471746559515
kb_relative_information_score
0.132619808251326
kb_relative_information_score
0.1487821720727298
kb_relative_information_score
0.13261980825132583
kb_relative_information_score
0.1482245207752094
kb_relative_information_score
0.15900648886666244
kb_relative_information_score
0.15361550482093603
mean_absolute_error
0.4122340425531915
mean_absolute_error
0.43733333333333335
mean_absolute_error
0.432
mean_absolute_error
0.424
mean_absolute_error
0.42933333333333334
mean_absolute_error
0.42133333333333334
mean_absolute_error
0.42933333333333334
mean_absolute_error
0.42133333333333334
mean_absolute_error
0.416
mean_absolute_error
0.4186666666666667
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
0.7657500148165709 [1,0.568245]
precision
0.6819687786960514 [0.833333,0.553719]
precision
0.6742451253481895 [0.8125,0.557103]
precision
0.762232044198895 [1,0.560773]
precision
0.6647045140942243 [0.789474,0.558989]
precision
0.6804436432311787 [0.818182,0.563739]
precision
0.7605641025641026 [1,0.557692]
precision
0.7323555555555555 [0.933333,0.563889]
precision
0.6857865612648222 [0.826087,0.568182]
precision
0.6956112676056339 [0.85,0.566197]
predictive_accuracy
0.5877659574468086
predictive_accuracy
0.5626666666666666
predictive_accuracy
0.568
predictive_accuracy
0.5760000000000001
predictive_accuracy
0.5706666666666667
predictive_accuracy
0.5786666666666667
predictive_accuracy
0.5706666666666667
predictive_accuracy
0.5786666666666667
predictive_accuracy
0.584
predictive_accuracy
0.5813333333333334
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
0.5877659574468085 [0.098837,1]
recall
0.5626666666666666 [0.05814,0.990148]
recall
0.568 [0.075581,0.985222]
recall
0.576 [0.075581,1]
recall
0.5706666666666667 [0.087209,0.980296]
recall
0.5786666666666667 [0.104651,0.980296]
recall
0.5706666666666667 [0.063953,1]
recall
0.5786666666666667 [0.081871,0.995098]
recall
0.584 [0.111111,0.980392]
recall
0.5813333333333334 [0.099415,0.985294]
relative_absolute_error
0.8304377494675172
relative_absolute_error
0.8808169737282726
relative_absolute_error
0.8700753033169524
relative_absolute_error
0.8539627976999716
relative_absolute_error
0.8647044681112922
relative_absolute_error
0.8485919624943115
relative_absolute_error
0.8647044681112922
relative_absolute_error
0.8489771023842556
relative_absolute_error
0.838230556784455
relative_absolute_error
0.8436038295843552
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
0.6420545479577194
root_mean_squared_error
0.6613118276073198
root_mean_squared_error
0.6572670690061994
root_mean_squared_error
0.6511528238439882
root_mean_squared_error
0.6552353266829661
root_mean_squared_error
0.6491019437140312
root_mean_squared_error
0.6552353266829661
root_mean_squared_error
0.6491019437140312
root_mean_squared_error
0.644980619863884
root_mean_squared_error
0.6470445631227162
root_relative_squared_error
1.2887847088004005
root_relative_squared_error
1.3271640460720957
root_relative_squared_error
1.3190467586346852
root_relative_squared_error
1.3067762895316053
root_relative_squared_error
1.3149693245866143
root_relative_squared_error
1.3026604484750035
root_relative_squared_error
1.3149693245866143
root_relative_squared_error
1.3032517144696998
root_relative_squared_error
1.2949770167498673
root_relative_squared_error
1.2991209537950263
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
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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