10329890
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)
8185505
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
73.15153484301855
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5428573815911459
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.037758991593650544
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
25665
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
21581477
description
https://api.openml.org/data/download/21581477/description.xml
-1
21581478
predictions
https://api.openml.org/data/download/21581478/predictions.arff
area_under_roc_curve
0.9546695350636946 [0.949961,0.881866,0.974552,0.982185,0.97031,0.959278,0.969665,0.962384,0.971171,0.92372]
average_cost
0
f_measure
0.9217421753420659 [0.944625,0.858156,0.945122,0.965517,0.934985,0.954839,0.785185,0.958199,0.967532,0.901024]
kappa
0.9093221823276995
kb_relative_information_score
0.9145405183479771
mean_absolute_error
0.01632140615191459
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9369714626502924 [0.993151,0.975806,0.933735,0.9625,0.920732,0.993289,0.646341,0.993333,0.993333,0.956522]
predictive_accuracy
0.9183929692404269
prior_entropy
3.3218194939376526
recall
0.9183929692404269 [0.900621,0.765823,0.95679,0.968553,0.949686,0.919255,1,0.925466,0.943038,0.851613]
relative_absolute_error
0.09067598185174937
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.1277552588033643
root_relative_squared_error
0.4258544146290169
total_cost
0
area_under_roc_curve
0.9652777777777779 [0.96875,0.90625,0.9375,1,0.934028,1,0.972222,1,1,0.934028]
area_under_roc_curve
0.9687739463601531 [0.96875,0.902778,0.996528,0.9375,0.996528,0.9375,0.982639,1,1,0.963218]
area_under_roc_curve
0.9444201631701631 [0.9375,0.875,0.965278,0.993056,0.958333,0.908268,0.96875,0.9375,0.96875,0.933333]
area_under_roc_curve
0.944055944055944 [0.9375,0.84375,0.961757,0.95826,0.965253,0.96875,0.968531,0.965253,0.96875,0.9]
area_under_roc_curve
0.9510489510489509 [0.996503,0.875,0.970588,1,0.98951,0.9375,0.965035,0.84375,0.966667,0.966667]
area_under_roc_curve
0.9649857185068453 [1,0.90625,0.992958,0.96875,0.996503,0.96875,0.975524,0.96875,0.933333,0.933333]
area_under_roc_curve
0.9652049339549341 [0.970588,0.934003,0.96875,0.966667,0.996503,1,0.975694,0.96875,0.9375,0.934003]
area_under_roc_curve
0.9545454545454546 [0.9375,0.9,0.996503,0.996503,0.996503,0.96875,0.968531,0.96875,1,0.809003]
area_under_roc_curve
0.9545697358197358 [0.9375,0.829861,0.965253,1,0.965253,1,0.968531,0.96875,1,0.902753]
area_under_roc_curve
0.9335664335664335 [0.84375,0.84375,0.98951,1,0.9,0.90625,0.951049,1,0.934003,0.965253]
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
0.9404078605858359 [0.967742,0.896552,0.933333,1,0.903226,1,0.8,1,1,0.903226]
f_measure
0.9442834073076009 [0.967742,0.866667,0.969697,0.933333,0.969697,0.933333,0.864865,1,1,0.933333]
f_measure
0.9033291890221863 [0.933333,0.857143,0.9375,0.941176,0.882353,0.875,0.780488,0.933333,0.967742,0.928571]
f_measure
0.9020273718334241 [0.933333,0.814815,0.909091,0.882353,0.9375,0.967742,0.780488,0.9375,0.967742,0.888889]
f_measure
0.9149007606608994 [0.969697,0.857143,0.969697,1,0.914286,0.933333,0.761905,0.814815,0.965517,0.965517]
f_measure
0.9393238713552687 [1,0.896552,0.944444,0.967742,0.969697,0.967742,0.820513,0.967742,0.928571,0.928571]
f_measure
0.9399322129441547 [0.969697,0.903226,0.967742,0.965517,0.969697,1,0.810811,0.967742,0.933333,0.903226]
f_measure
0.918990691053495 [0.933333,0.888889,0.969697,0.969697,0.969697,0.967742,0.780488,0.967742,1,0.740741]
f_measure
0.9201895432971839 [0.933333,0.769231,0.9375,1,0.9375,1,0.780488,0.967742,1,0.866667]
f_measure
0.8865588308680519 [0.814815,0.814815,0.914286,1,0.888889,0.896552,0.695652,1,0.903226,0.9375]
kappa
0.9305555555555556
kappa
0.9374945741817866
kappa
0.8888792429898429
kappa
0.8881709086113676
kappa
0.9021495450349466
kappa
0.9300914526908196
kappa
0.9301313881443073
kappa
0.9091388632467361
kappa
0.9091348689994725
kappa
0.867202953975999
kb_relative_information_score
0.9345487478115967
kb_relative_information_score
0.9411145762000095
kb_relative_information_score
0.895400949758536
kb_relative_information_score
0.8945788207948168
kb_relative_information_score
0.907965257924169
kb_relative_information_score
0.9340373126140252
kb_relative_information_score
0.9341044008610535
kb_relative_information_score
0.9141448885742958
kb_relative_information_score
0.9143141111111664
kb_relative_information_score
0.8750251960100422
mean_absolute_error
0.012499999999999999
mean_absolute_error
0.01125
mean_absolute_error
0.020000000000000004
mean_absolute_error
0.020125786163522015
mean_absolute_error
0.017610062893081764
mean_absolute_error
0.012578616352201257
mean_absolute_error
0.012578616352201257
mean_absolute_error
0.016352201257861635
mean_absolute_error
0.016352201257861635
mean_absolute_error
0.0238993710691824
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
0.9533333333333335 [1,1,1,1,0.933333,1,0.666667,1,1,0.933333]
precision
0.9510329131652661 [1,0.928571,0.941176,1,0.941176,1,0.761905,1,1,0.933333]
precision
0.9228888888888889 [1,1,0.9375,0.888889,0.833333,0.933333,0.64,1,1,1]
precision
0.9225847823406091 [1,1,0.882353,0.833333,0.9375,1,0.64,0.9375,1,1]
precision
0.939488437648377 [0.941176,1,1,1,0.842105,1,0.615385,1,1,1]
precision
0.9521999033195594 [1,1,0.894737,1,0.941176,1,0.695652,1,1,1]
precision
0.9506463076940325 [1,0.933333,1,1,0.941176,1,0.681818,1,1,0.933333]
precision
0.9368674536710053 [1,1,0.941176,0.941176,0.941176,1,0.64,1,1,0.909091]
precision
0.9354308584497264 [1,0.909091,0.9375,1,0.9375,1,0.64,1,1,0.928571]
precision
0.924153150171025 [1,1,0.842105,1,1,1,0.533333,1,0.933333,0.9375]
predictive_accuracy
0.9375
predictive_accuracy
0.94375
predictive_accuracy
0.9
predictive_accuracy
0.89937106918239
predictive_accuracy
0.9119496855345912
predictive_accuracy
0.9371069182389937
predictive_accuracy
0.9371069182389937
predictive_accuracy
0.9182389937106918
predictive_accuracy
0.9182389937106918
predictive_accuracy
0.8805031446540881
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
0.9375 [0.9375,0.8125,0.875,1,0.875,1,1,1,1,0.875]
recall
0.94375 [0.9375,0.8125,1,0.875,1,0.875,1,1,1,0.933333]
recall
0.9 [0.875,0.75,0.9375,1,0.9375,0.823529,1,0.875,0.9375,0.866667]
recall
0.89937106918239 [0.875,0.6875,0.9375,0.9375,0.9375,0.9375,1,0.9375,0.9375,0.8]
recall
0.9119496855345912 [1,0.75,0.941176,1,1,0.875,1,0.6875,0.933333,0.933333]
recall
0.9371069182389937 [1,0.8125,1,0.9375,1,0.9375,1,0.9375,0.866667,0.866667]
recall
0.9371069182389937 [0.941176,0.875,0.9375,0.933333,1,1,1,0.9375,0.875,0.875]
recall
0.9182389937106918 [0.875,0.8,1,1,1,0.9375,1,0.9375,1,0.625]
recall
0.9182389937106918 [0.875,0.666667,0.9375,1,0.9375,1,1,0.9375,1,0.8125]
recall
0.8805031446540881 [0.6875,0.6875,1,1,0.8,0.8125,1,1,0.875,0.9375]
relative_absolute_error
0.06944444444444459
relative_absolute_error
0.06250162460034844
relative_absolute_error
0.11111399928950837
relative_absolute_error
0.11181201909453564
relative_absolute_error
0.09783722278654311
relative_absolute_error
0.0698837305618165
relative_absolute_error
0.06988190263615648
relative_absolute_error
0.09084607738852966
relative_absolute_error
0.09084607738852966
relative_absolute_error
0.13277445736282067
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
0.11180339887498948
root_mean_squared_error
0.10606601717798213
root_mean_squared_error
0.14142135623730953
root_mean_squared_error
0.14186538042638175
root_mean_squared_error
0.13270291214996663
root_mean_squared_error
0.11215443081840885
root_mean_squared_error
0.11215443081840885
root_mean_squared_error
0.12787572583513118
root_mean_squared_error
0.12787572583513118
root_mean_squared_error
0.1545942142163878
root_relative_squared_error
0.37267492642360117
root_relative_squared_error
0.3535596683199941
root_relative_squared_error
0.4714128910933255
root_relative_squared_error
0.47288957062540016
root_relative_squared_error
0.44235540261286505
root_relative_squared_error
0.37385855062040885
root_relative_squared_error
0.3738487716609346
root_relative_squared_error
0.426251323948145
root_relative_squared_error
0.426251323948145
root_relative_squared_error
0.5153104765615787
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
0
total_cost
0
usercpu_time_millis
1704.7507079987554
usercpu_time_millis
1725.9975750057492
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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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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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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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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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
104.8126220703125
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
88.5171890258789
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
125.19288063049316
wall_clock_time_millis_testing
88.75274658203125
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
91.54248237609863
wall_clock_time_millis_testing
88.41991424560547
wall_clock_time_millis_training
1714.3781185150146
wall_clock_time_millis_training
1881.4172744750977
wall_clock_time_millis_training
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wall_clock_time_millis_training
1796.5087890625
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
1843.3306217193604
wall_clock_time_millis_training
1654.1507244110107
wall_clock_time_millis_training
1814.4996166229248
wall_clock_time_millis_training
1763.7782096862793