10329861
8323
Heinrich Peters
9964
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8185476
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
9.843899177057974
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7902023795206077
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.002234637148515148
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
36108
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.
1501
semeion
https://www.openml.org/data/download/1592293/phptd5jYj
-1
21581419
description
https://api.openml.org/data/download/21581419/description.xml
-1
21581420
predictions
https://api.openml.org/data/download/21581420/predictions.arff
area_under_roc_curve
0.9762810493984863 [0.987228,0.952212,0.984801,0.980086,0.964369,0.978922,0.975547,0.98653,0.973987,0.978559]
average_cost
0
f_measure
0.9574232160286325 [0.984326,0.923077,0.940828,0.971429,0.93125,0.959752,0.955975,0.978193,0.967742,0.96129]
kappa
0.9525685261406428
kb_relative_information_score
0.9553129497333813
mean_absolute_error
0.008537350910232257
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9580103161639495 [0.993671,0.935065,0.903409,0.980769,0.925466,0.95679,0.955975,0.98125,0.986842,0.96129]
predictive_accuracy
0.9573132454488387
prior_entropy
3.3218194939376526
recall
0.9573132454488387 [0.975155,0.911392,0.981481,0.962264,0.937107,0.962733,0.955975,0.975155,0.949367,0.96129]
relative_absolute_error
0.04743051358399203
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.09239778628426255
root_relative_squared_error
0.30799518986270846
total_cost
0
area_under_roc_curve
0.9722222222222221 [0.96875,0.965278,0.965278,0.996528,0.930556,1,0.934028,0.996528,1,0.965278]
area_under_roc_curve
0.9756941095303164 [0.96875,0.989583,0.996528,0.96875,0.996528,0.9375,0.9375,0.996503,1,0.963218]
area_under_roc_curve
0.972197940947941 [1,0.965278,0.954861,1,0.930556,0.967092,1,0.96875,0.9375,1]
area_under_roc_curve
0.9790452602952603 [0.96875,0.993007,0.993007,0.9375,0.96875,0.996503,1,1,0.96875,0.963194]
area_under_roc_curve
0.9754752289963557 [0.996503,0.9375,0.992958,1,0.965253,0.996503,0.961757,0.9375,0.966667,1]
area_under_roc_curve
0.9719787254998523 [1,0.930507,0.963546,0.9375,0.961757,0.996503,0.96875,0.996503,0.966667,1]
area_under_roc_curve
0.9790452602952605 [1,0.965253,1,0.966667,0.996503,0.993007,0.963194,1,0.9375,0.965253]
area_under_roc_curve
0.986013986013986 [1,0.966667,0.996503,0.996503,0.993007,0.96875,1,1,1,0.9375]
area_under_roc_curve
0.9825174825174826 [1,0.9,0.996503,1,0.965253,1,0.993007,0.96875,1,0.996503]
area_under_roc_curve
0.9685314685314685 [0.96875,0.90625,0.98951,0.996503,0.933333,0.934003,0.996503,1,0.961757,0.996503]
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
0.9497861681329424 [0.967742,0.9375,0.9375,0.969697,0.875,1,0.903226,0.969697,1,0.9375]
f_measure
0.956297304845692 [0.967742,0.914286,0.969697,0.967742,0.969697,0.933333,0.933333,0.971429,1,0.933333]
f_measure
0.9508218125960062 [1,0.9375,0.857143,1,0.875,0.941176,1,0.967742,0.933333,1]
f_measure
0.9623757535253721 [0.967742,0.941176,0.941176,0.933333,0.967742,0.969697,1,1,0.967742,0.933333]
f_measure
0.9558537007463488 [0.969697,0.933333,0.944444,1,0.9375,0.969697,0.909091,0.933333,0.965517,1]
f_measure
0.9498023750967274 [1,0.875,0.914286,0.933333,0.909091,0.969697,0.967742,0.969697,0.965517,1]
f_measure
0.9622016792363918 [1,0.9375,1,0.965517,0.969697,0.941176,0.933333,1,0.933333,0.9375]
f_measure
0.9747741476822623 [1,0.965517,0.969697,0.969697,0.941176,0.967742,1,1,1,0.933333]
f_measure
0.9679643450364153 [1,0.888889,0.969697,1,0.9375,1,0.941176,0.967742,1,0.969697]
f_measure
0.942945681793878 [0.967742,0.896552,0.914286,0.969697,0.928571,0.903226,0.969697,1,0.909091,0.969697]
kappa
0.9444444444444444
kappa
0.9513825584928594
kappa
0.9444396214949213
kappa
0.9580696202531646
kappa
0.9510704708313185
kappa
0.9440829963073677
kappa
0.9580640907292628
kappa
0.9720451848270406
kappa
0.9650534089410524
kappa
0.9370989010989011
kb_relative_information_score
0.9476760406243586
kb_relative_information_score
0.9542419174940548
kb_relative_information_score
0.9477315711525763
kb_relative_information_score
0.9604618304351301
kb_relative_information_score
0.9539380623202736
kb_relative_information_score
0.9473404696515213
kb_relative_information_score
0.9604026146666191
kb_relative_information_score
0.9735654393323281
kb_relative_information_score
0.9670765859578994
kb_relative_information_score
0.9407963649098625
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.008749999999999999
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.007547169811320755
mean_absolute_error
0.00880503144654088
mean_absolute_error
0.010062893081761006
mean_absolute_error
0.007547169811320755
mean_absolute_error
0.005031446540880504
mean_absolute_error
0.006289308176100629
mean_absolute_error
0.011320754716981131
mean_prior_absolute_error
0.17999999999999963
mean_prior_absolute_error
0.17999532127261347
mean_prior_absolute_error
0.17999532127261347
mean_prior_absolute_error
0.17999662582343604
mean_prior_absolute_error
0.17999348705453969
mean_prior_absolute_error
0.17999348705453969
mean_prior_absolute_error
0.17999819520788427
mean_prior_absolute_error
0.17999897990010832
mean_prior_absolute_error
0.17999897990010832
mean_prior_absolute_error
0.1799997645923324
number_of_instances
160 [16,16,16,16,16,16,16,16,16,16]
number_of_instances
160 [16,16,16,16,16,16,16,17,16,15]
number_of_instances
160 [16,16,16,16,16,17,16,16,16,15]
number_of_instances
159 [16,16,16,16,16,16,16,16,16,15]
number_of_instances
159 [16,16,17,16,16,16,16,16,15,15]
number_of_instances
159 [16,16,17,16,16,16,16,16,15,15]
number_of_instances
159 [17,16,16,15,16,16,15,16,16,16]
number_of_instances
159 [16,15,16,16,16,16,16,16,16,16]
number_of_instances
159 [16,15,16,16,16,16,16,16,16,16]
number_of_instances
159 [16,16,16,16,15,16,16,16,16,16]
precision
0.9503186274509805 [1,0.9375,0.9375,0.941176,0.875,1,0.933333,0.941176,1,0.9375]
precision
0.9602930426556588 [1,0.842105,0.941176,1,0.941176,1,1,0.944444,1,0.933333]
precision
0.9539473684210528 [1,0.9375,0.789474,1,0.875,0.941176,1,1,1,1]
precision
0.9654293583261397 [1,0.888889,0.888889,1,1,0.941176,1,1,1,0.933333]
precision
0.9587787448643809 [0.941176,1,0.894737,1,0.9375,0.941176,0.882353,1,1,1]
precision
0.9518641838286679 [1,0.875,0.888889,1,0.882353,0.941176,1,0.941176,1,1]
precision
0.9640317342870063 [1,0.9375,1,1,0.941176,0.888889,0.933333,1,1,0.9375]
precision
0.976980309943684 [1,1,0.941176,0.941176,0.888889,1,1,1,1,1]
precision
0.9706910017675834 [1,1,0.941176,1,0.9375,1,0.888889,1,1,0.941176]
precision
0.9478058817038898 [1,1,0.842105,0.941176,1,0.933333,0.941176,1,0.882353,0.941176]
predictive_accuracy
0.95
predictive_accuracy
0.95625
predictive_accuracy
0.95
predictive_accuracy
0.9622641509433962
predictive_accuracy
0.9559748427672956
predictive_accuracy
0.9496855345911949
predictive_accuracy
0.9622641509433962
predictive_accuracy
0.9748427672955975
predictive_accuracy
0.9685534591194969
predictive_accuracy
0.9433962264150944
prior_entropy
3.322035652456755
prior_entropy
3.321695353806615
prior_entropy
3.321695353806615
prior_entropy
3.3217896094452106
prior_entropy
3.3215641679424013
prior_entropy
3.3215641679424013
prior_entropy
3.321906615533436
prior_entropy
3.321962444265476
prior_entropy
3.321962444265476
prior_entropy
3.3220193319359352
recall
0.95 [0.9375,0.9375,0.9375,1,0.875,1,0.875,1,1,0.9375]
recall
0.95625 [0.9375,1,1,0.9375,1,0.875,0.875,1,1,0.933333]
recall
0.95 [1,0.9375,0.9375,1,0.875,0.941176,1,0.9375,0.875,1]
recall
0.9622641509433962 [0.9375,1,1,0.875,0.9375,1,1,1,0.9375,0.933333]
recall
0.9559748427672956 [1,0.875,1,1,0.9375,1,0.9375,0.875,0.933333,1]
recall
0.949685534591195 [1,0.875,0.941176,0.875,0.9375,1,0.9375,1,0.933333,1]
recall
0.9622641509433962 [1,0.9375,1,0.933333,1,1,0.933333,1,0.875,0.9375]
recall
0.9748427672955975 [1,0.933333,1,1,1,0.9375,1,1,1,0.875]
recall
0.9685534591194969 [1,0.8,1,1,0.9375,1,1,0.9375,1,1]
recall
0.9433962264150944 [0.9375,0.8125,1,1,0.866667,0.875,1,1,0.9375,1]
relative_absolute_error
0.055555555555555663
relative_absolute_error
0.048612374689159896
relative_absolute_error
0.05555699964475416
relative_absolute_error
0.04192950716045086
relative_absolute_error
0.048918611393271555
relative_absolute_error
0.055906984449453204
relative_absolute_error
0.0419291415816939
relative_absolute_error
0.02795263919647067
relative_absolute_error
0.034940798995588336
relative_absolute_error
0.06289316401396766
root_mean_prior_squared_error
0.3000024711829099
root_mean_prior_squared_error
0.2999946732668207
root_mean_prior_squared_error
0.2999946732668207
root_mean_prior_squared_error
0.2999968475489186
root_mean_prior_squared_error
0.2999916161668401
root_mean_prior_squared_error
0.2999916161668401
root_mean_prior_squared_error
0.29999946320574855
root_mean_prior_squared_error
0.30000077102561146
root_mean_prior_squared_error
0.30000077102561146
root_mean_prior_squared_error
0.30000207883977315
root_mean_squared_error
0.09999999999999999
root_mean_squared_error
0.09354143466934853
root_mean_squared_error
0.09999999999999999
root_mean_squared_error
0.08687444855261388
root_mean_squared_error
0.09383512906444409
root_mean_squared_error
0.10031397251510382
root_mean_squared_error
0.08687444855261388
root_mean_squared_error
0.07093269021319087
root_mean_squared_error
0.07930515857181442
root_mean_squared_error
0.1063990353197863
root_relative_squared_error
0.33333058759716194
root_relative_squared_error
0.31181031866572867
root_relative_squared_error
0.3333392520308458
root_relative_squared_error
0.28958453817901475
root_relative_squared_error
0.3127925048820623
root_relative_squared_error
0.3343892532627121
root_relative_squared_error
0.28958201332857986
root_relative_squared_error
0.23644169303529974
root_relative_squared_error
0.26434984917103443
root_relative_squared_error
0.3546609934546904
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
total_cost
0
usercpu_time_millis
806.9764910032973
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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wall_clock_time_millis
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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