10329875
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)
8185490
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
4561.608473484532
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.01239605662592219
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
41828
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
21581447
description
https://api.openml.org/data/download/21581447/description.xml
-1
21581448
predictions
https://api.openml.org/data/download/21581448/predictions.arff
area_under_roc_curve
0.9616689858406576 [0.959278,0.940685,0.962905,0.960521,0.946896,0.971314,0.984981,0.956173,0.96908,0.964806]
average_cost
0
f_measure
0.9317882737152713 [0.954839,0.853731,0.937888,0.945338,0.922581,0.941538,0.965732,0.951456,0.949045,0.893617]
kappa
0.9232789650037718
kb_relative_information_score
0.9278050419754625
mean_absolute_error
0.013810420590081578
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9346541870434322 [0.993289,0.80791,0.94375,0.967105,0.94702,0.932927,0.95679,0.993243,0.955128,0.844828]
predictive_accuracy
0.930947897049592
prior_entropy
3.3218194939376526
recall
0.9309478970495919 [0.919255,0.905063,0.932099,0.924528,0.899371,0.950311,0.974843,0.913043,0.943038,0.948387]
relative_absolute_error
0.07672583079763409
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.11751774585177159
root_relative_squared_error
0.3917290868257384
total_cost
0
area_under_roc_curve
0.9722222222222223 [0.96875,0.961806,0.9375,0.993056,0.934028,1,0.965278,1,0.965278,0.996528]
area_under_roc_curve
0.972294061302682 [0.96875,0.986111,0.996528,0.9375,1,0.9375,0.96875,0.970588,1,0.956322]
area_under_roc_curve
0.9548125485625485 [0.96875,0.920139,0.961806,0.996528,0.895833,0.963595,0.96875,0.9375,0.96875,0.966667]
area_under_roc_curve
0.951146076146076 [0.90625,0.961757,0.965253,0.902753,0.96875,0.95826,0.996503,0.934003,0.965253,0.952778]
area_under_roc_curve
0.9616113053613055 [0.965253,0.95826,0.941176,0.96875,0.96875,0.993007,0.993007,0.84375,1,0.989583]
area_under_roc_curve
0.9755484148089782 [1,0.95826,0.937655,0.96875,0.934003,1,1,1,0.966667,0.993056]
area_under_roc_curve
0.9440802253302255 [0.941176,0.947771,0.9375,0.9,0.902753,0.993007,0.996528,0.96875,0.930507,0.923514]
area_under_roc_curve
0.9720765345765345 [1,0.926389,0.996503,1,0.996503,0.965253,0.96875,0.9375,1,0.92701]
area_under_roc_curve
0.9650835275835276 [0.96875,0.893056,0.96875,0.96875,0.934003,0.996503,0.993007,0.96875,1,0.954764]
area_under_roc_curve
0.9475524475524476 [0.90625,0.888767,0.98951,0.965253,0.933333,0.90625,1,1,0.89576,0.98951]
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
0.9499265424644932 [0.967742,0.909091,0.933333,0.941176,0.903226,1,0.9375,1,0.9375,0.969697]
f_measure
0.9511351926523297 [0.967742,0.888889,0.969697,0.933333,1,0.933333,0.967742,0.969697,1,0.875]
f_measure
0.92044480037945 [0.967742,0.8,0.909091,0.969697,0.8125,0.914286,0.967742,0.933333,0.967742,0.965517]
f_measure
0.912279899185809 [0.896552,0.909091,0.9375,0.866667,0.967742,0.882353,0.969697,0.903226,0.9375,0.848485]
f_measure
0.9296474007957963 [0.9375,0.882353,0.9375,0.967742,0.967742,0.941176,0.941176,0.814815,1,0.909091]
f_measure
0.9563077673272099 [1,0.882353,0.909091,0.967742,0.903226,1,1,1,0.965517,0.9375]
f_measure
0.901126417760713 [0.9375,0.810811,0.933333,0.888889,0.866667,0.941176,0.967742,0.967742,0.875,0.823529]
f_measure
0.9498318547618607 [1,0.866667,0.969697,1,0.969697,0.9375,0.967742,0.933333,1,0.848485]
f_measure
0.9376676140659801 [0.967742,0.827586,0.967742,0.967742,0.903226,0.969697,0.941176,0.967742,1,0.857143]
f_measure
0.9063563746904096 [0.896552,0.764706,0.914286,0.9375,0.928571,0.896552,1,1,0.8125,0.914286]
kappa
0.9444444444444444
kappa
0.9444468556052255
kappa
0.909706546275395
kappa
0.9021753460777852
kappa
0.9231377719182597
kappa
0.951081223628692
kappa
0.8881758241758242
kappa
0.9440928270042194
kappa
0.9301129620676014
kappa
0.8951648351648351
kb_relative_information_score
0.9477668812508057
kb_relative_information_score
0.9477309110111676
kb_relative_information_score
0.9150254579712538
kb_relative_information_score
0.9079870601288529
kb_relative_information_score
0.9278497914467008
kb_relative_information_score
0.9539831251091127
kb_relative_information_score
0.8947047377710006
kb_relative_information_score
0.9472842044387287
kb_relative_information_score
0.9341823325391772
kb_relative_information_score
0.9013675715149528
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.01625
mean_absolute_error
0.017610062893081764
mean_absolute_error
0.013836477987421382
mean_absolute_error
0.00880503144654088
mean_absolute_error
0.020125786163522015
mean_absolute_error
0.010062893081761006
mean_absolute_error
0.012578616352201257
mean_absolute_error
0.01886792452830189
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
0.9520751633986929 [1,0.882353,1,0.888889,0.933333,1,0.9375,1,0.9375,0.941176]
precision
0.9575735294117648 [1,0.8,0.941176,1,1,1,1,1,1,0.823529]
precision
0.9254815961472309 [1,0.736842,0.882353,0.941176,0.8125,0.888889,1,1,1,1]
precision
0.9180311118157954 [1,0.882353,0.9375,0.928571,1,0.833333,0.941176,0.933333,0.9375,0.777778]
precision
0.9388539482879107 [0.9375,0.833333,1,1,1,0.888889,0.888889,1,1,0.833333]
precision
0.9587387470711555 [1,0.833333,0.9375,1,0.933333,1,1,1,1,0.882353]
precision
0.912043276430069 [1,0.714286,1,1,0.928571,0.888889,0.9375,1,0.875,0.777778]
precision
0.9515353311135776 [1,0.866667,0.941176,1,0.941176,0.9375,1,1,1,0.823529]
precision
0.9415289364118149 [1,0.857143,1,1,0.933333,0.941176,0.888889,1,1,0.789474]
precision
0.9151127294126302 [1,0.722222,0.842105,0.9375,1,1,1,1,0.8125,0.842105]
predictive_accuracy
0.95
predictive_accuracy
0.95
predictive_accuracy
0.91875
predictive_accuracy
0.9119496855345912
predictive_accuracy
0.9308176100628931
predictive_accuracy
0.9559748427672956
predictive_accuracy
0.89937106918239
predictive_accuracy
0.9496855345911949
predictive_accuracy
0.9371069182389937
predictive_accuracy
0.9056603773584905
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 [0.9375,0.9375,0.875,1,0.875,1,0.9375,1,0.9375,1]
recall
0.95 [0.9375,1,1,0.875,1,0.875,0.9375,0.941176,1,0.933333]
recall
0.91875 [0.9375,0.875,0.9375,1,0.8125,0.941176,0.9375,0.875,0.9375,0.933333]
recall
0.9119496855345912 [0.8125,0.9375,0.9375,0.8125,0.9375,0.9375,1,0.875,0.9375,0.933333]
recall
0.9308176100628931 [0.9375,0.9375,0.882353,0.9375,0.9375,1,1,0.6875,1,1]
recall
0.9559748427672956 [1,0.9375,0.882353,0.9375,0.875,1,1,1,0.933333,1]
recall
0.89937106918239 [0.882353,0.9375,0.875,0.8,0.8125,1,1,0.9375,0.875,0.875]
recall
0.949685534591195 [1,0.866667,1,1,1,0.9375,0.9375,0.875,1,0.875]
recall
0.9371069182389937 [0.9375,0.8,0.9375,0.9375,0.875,1,1,0.9375,1,0.9375]
recall
0.9056603773584906 [0.8125,0.8125,1,0.9375,0.866667,0.8125,1,1,0.8125,1]
relative_absolute_error
0.055555555555555663
relative_absolute_error
0.05555699964475416
relative_absolute_error
0.09028012442272554
relative_absolute_error
0.09783551670771867
relative_absolute_error
0.07687210361799815
relative_absolute_error
0.048918611393271555
relative_absolute_error
0.1118110442178504
relative_absolute_error
0.05590527839294133
relative_absolute_error
0.06988159799117666
relative_absolute_error
0.10482194002327945
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
0.09999999999999999
root_mean_squared_error
0.12747548783981963
root_mean_squared_error
0.13270291214996663
root_mean_squared_error
0.11762855940383433
root_mean_squared_error
0.09383512906444409
root_mean_squared_error
0.14186538042638175
root_mean_squared_error
0.10031397251510382
root_mean_squared_error
0.11215443081840885
root_mean_squared_error
0.13736056394868904
root_relative_squared_error
0.33333058759716194
root_relative_squared_error
0.3333392520308458
root_relative_squared_error
0.4249258376879266
root_relative_squared_error
0.44234768876472147
root_relative_squared_error
0.39210615585475334
root_relative_squared_error
0.3127925048820623
root_relative_squared_error
0.4728854475619053
root_relative_squared_error
0.33437904900097704
root_relative_squared_error
0.3738471419089589
root_relative_squared_error
0.45786537373313124
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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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_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_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
102.91409492492676
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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wall_clock_time_millis_training
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wall_clock_time_millis_training
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