10330578
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)
8186159
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
12.341555491261257
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.46669411992573373
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.01790402609150106
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
31550
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
21582855
description
https://api.openml.org/data/download/21582855/description.xml
-1
21582856
predictions
https://api.openml.org/data/download/21582856/predictions.arff
area_under_roc_curve
0.6239025386140905 [0.623903,0.623903]
average_cost
0
f_measure
0.6085086238695182 [0.447535,0.744395]
kappa
0.26034129317060184
kb_relative_information_score
0.2937331142913302
mean_absolute_error
0.3495067981871501
mean_prior_absolute_error
0.4964308656158626
number_of_instances
3751 [1717,2034]
precision
0.7049857565071974 [0.809451,0.616801]
predictive_accuracy
0.65049320181285
prior_entropy
0.9948419333531207
recall
0.6504932018128499 [0.30926,0.938545]
relative_absolute_error
0.7040392175324527
root_mean_prior_squared_error
0.4982112822885347
root_mean_squared_error
0.5911909997514764
root_relative_squared_error
1.1866270812572512
total_cost
0
area_under_roc_curve
0.6447218422252622 [0.644722,0.644722]
area_under_roc_curve
0.6410671325466835 [0.641067,0.641067]
area_under_roc_curve
0.5943120632374842 [0.594312,0.594312]
area_under_roc_curve
0.6683612097605682 [0.668361,0.668361]
area_under_roc_curve
0.6370288692862872 [0.637029,0.637029]
area_under_roc_curve
0.6010138618398442 [0.601014,0.601014]
area_under_roc_curve
0.6104221560316188 [0.610422,0.610422]
area_under_roc_curve
0.6016941864465084 [0.601694,0.601694]
area_under_roc_curve
0.6240540075679395 [0.624054,0.624054]
area_under_roc_curve
0.6162280701754386 [0.616228,0.616228]
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
0.6283360532145602 [0.467532,0.763916]
f_measure
0.6276914846869566 [0.476987,0.755382]
f_measure
0.5726922414364275 [0.393162,0.724806]
f_measure
0.6588289896659574 [0.522822,0.774067]
f_measure
0.6261048831413754 [0.481633,0.748515]
f_measure
0.583843137254902 [0.416667,0.72549]
f_measure
0.5907474988405221 [0.418803,0.736434]
f_measure
0.5782903465513747 [0.389381,0.736641]
f_measure
0.6121249215368185 [0.456432,0.742633]
f_measure
0.604008069239279 [0.446281,0.73622]
kappa
0.3051682692307692
kappa
0.29592802319119205
kappa
0.19830778958778708
kappa
0.3528564354206997
kappa
0.28665578239444006
kappa
0.21180638962286824
kappa
0.23218210833759892
kappa
0.21519563239308467
kappa
0.2605554301196657
kappa
0.24399711139194818
kb_relative_information_score
0.33890748002785676
kb_relative_information_score
0.3265681741081696
kb_relative_information_score
0.23498144578688238
kb_relative_information_score
0.3804427201795147
kb_relative_information_score
0.31579326489390036
kb_relative_information_score
0.2457563550011516
kb_relative_information_score
0.2673061734296896
kb_relative_information_score
0.25604420168973835
kb_relative_information_score
0.29378109000982344
kb_relative_information_score
0.27760813787264405
mean_absolute_error
0.3271276595744681
mean_absolute_error
0.3333333333333333
mean_absolute_error
0.37866666666666665
mean_absolute_error
0.30666666666666664
mean_absolute_error
0.33866666666666667
mean_absolute_error
0.37333333333333335
mean_absolute_error
0.3626666666666667
mean_absolute_error
0.368
mean_absolute_error
0.34933333333333333
mean_absolute_error
0.35733333333333334
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
0.7592734582345989 [0.915254,0.62776]
precision
0.7294210764360018 [0.850746,0.626623]
precision
0.6637174756948023 [0.741935,0.597444]
precision
0.7672880553187459 [0.913043,0.643791]
precision
0.7094846533006743 [0.808219,0.625828]
precision
0.6634655425688191 [0.735294,0.602606]
precision
0.6910995224844549 [0.790323,0.607029]
precision
0.6929000000000001 [0.8,0.603125]
precision
0.6953873536299766 [0.785714,0.619672]
precision
0.6814484803558192 [0.760563,0.615132]
predictive_accuracy
0.6728723404255319
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.6213333333333333
predictive_accuracy
0.6933333333333332
predictive_accuracy
0.6613333333333334
predictive_accuracy
0.6266666666666666
predictive_accuracy
0.6373333333333333
predictive_accuracy
0.632
predictive_accuracy
0.6506666666666666
predictive_accuracy
0.6426666666666666
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
0.6728723404255319 [0.313953,0.97549]
recall
0.6666666666666666 [0.331395,0.950739]
recall
0.6213333333333333 [0.267442,0.921182]
recall
0.6933333333333334 [0.366279,0.970443]
recall
0.6613333333333333 [0.343023,0.931034]
recall
0.6266666666666667 [0.290698,0.91133]
recall
0.6373333333333333 [0.284884,0.935961]
recall
0.632 [0.25731,0.946078]
recall
0.6506666666666666 [0.321637,0.926471]
recall
0.6426666666666667 [0.315789,0.916667]
relative_absolute_error
0.6589925366742234
relative_absolute_error
0.6713544007075248
relative_absolute_error
0.7626585992037483
relative_absolute_error
0.6176460486509229
relative_absolute_error
0.6820960711188454
relative_absolute_error
0.7519169287924279
relative_absolute_error
0.7304335879697871
relative_absolute_error
0.7415116463862484
relative_absolute_error
0.703898736786946
relative_absolute_error
0.7200185551866473
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
0.5719507492559723
root_mean_squared_error
0.5773502691896257
root_mean_squared_error
0.615358973824764
root_mean_squared_error
0.5537749241945383
root_mean_squared_error
0.5819507424745385
root_mean_squared_error
0.6110100926607787
root_mean_squared_error
0.6022181221672648
root_mean_squared_error
0.6066300355241241
root_mean_squared_error
0.5910442735813733
root_mean_squared_error
0.5977736472389306
root_relative_squared_error
1.148066596791041
root_relative_squared_error
1.1586644715411047
root_relative_squared_error
1.2349428384531849
root_relative_squared_error
1.1113519195118606
root_relative_squared_error
1.1678970037350955
root_relative_squared_error
1.2262152178655357
root_relative_squared_error
1.2085709135509801
root_relative_squared_error
1.2179776096833461
root_relative_squared_error
1.186684881060498
root_relative_squared_error
1.2001959602391215
total_cost
0
total_cost
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total_cost
0
total_cost
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total_cost
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total_cost
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wall_clock_time_millis
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