10329851
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)
8185466
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
0.09788648458625807
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6697798570289542
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.0019999675017863946
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
48020
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
21581399
description
https://api.openml.org/data/download/21581399/description.xml
-1
21581400
predictions
https://api.openml.org/data/download/21581400/predictions.arff
area_under_roc_curve
0.9574569040603875 [0.984123,0.907908,0.963778,0.956679,0.944804,0.935095,0.979047,0.976864,0.971896,0.953641]
average_cost
0
f_measure
0.923564543970747 [0.981132,0.872483,0.882521,0.935897,0.905063,0.909677,0.939024,0.965517,0.949367,0.89375]
kappa
0.9149035108114392
kb_relative_information_score
0.9198563358779182
mean_absolute_error
0.015317011927181384
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9260190719327832 [0.993631,0.928571,0.823529,0.954248,0.910828,0.946309,0.911243,0.974684,0.949367,0.866667]
predictive_accuracy
0.9234149403640929
prior_entropy
3.3218194939376526
recall
0.9234149403640929 [0.968944,0.822785,0.950617,0.918239,0.899371,0.875776,0.968553,0.956522,0.949367,0.922581]
relative_absolute_error
0.08509592143010325
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.12376191630377005
root_relative_squared_error
0.4125431619376866
total_cost
0
area_under_roc_curve
0.9652777777777779 [0.96875,0.965278,0.923611,0.996528,0.934028,0.96875,0.996528,1,0.934028,0.965278]
area_under_roc_curve
0.9792145593869732 [0.96875,0.961806,0.993056,0.96875,1,0.9375,0.96875,1,1,0.993103]
area_under_roc_curve
0.9583087171449239 [1,0.90625,0.958333,0.996528,0.895833,0.934183,0.996528,0.934028,0.96875,0.996552]
area_under_roc_curve
0.9511217948717947 [0.96875,0.934003,0.95826,0.899257,0.96875,0.902753,0.986014,0.96875,0.96875,0.95625]
area_under_roc_curve
0.944030636812327 [0.996503,0.871503,0.930613,0.96875,0.951267,0.934003,0.95826,0.90625,1,0.926389]
area_under_roc_curve
0.9684818800135702 [1,0.902753,0.989437,0.934003,0.965253,0.965253,0.96875,0.996503,0.966667,0.996528]
area_under_roc_curve
0.9440802253302254 [1,0.902753,0.954764,0.9,0.902753,0.930507,0.996528,0.965253,0.965253,0.920017]
area_under_roc_curve
0.9615627428127429 [1,0.896528,0.993007,0.996503,0.965253,0.934003,0.961757,1,0.996503,0.868007]
area_under_roc_curve
0.9545697358197359 [0.96875,0.863194,0.98951,0.96875,0.934003,0.9375,0.961757,0.996503,0.993007,0.92701]
area_under_roc_curve
0.9475767288267288 [0.96875,0.871503,0.947771,0.934003,0.929861,0.90625,0.996503,1,0.92701,0.993007]
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
0.9379858835029612 [0.967742,0.9375,0.823529,0.969697,0.903226,0.967742,0.969697,1,0.903226,0.9375]
f_measure
0.9628232769464091 [0.967742,0.909091,0.941176,0.967742,1,0.933333,0.967742,1,1,0.9375]
f_measure
0.9246524411159953 [1,0.896552,0.882353,0.969697,0.8125,0.882353,0.969697,0.903226,0.967742,0.967742]
f_measure
0.9128175318277715 [0.967742,0.903226,0.882353,0.83871,0.967742,0.866667,0.888889,0.967742,0.967742,0.875]
f_measure
0.8997437185299144 [0.969697,0.827586,0.857143,0.967742,0.833333,0.903226,0.882353,0.896552,1,0.866667]
f_measure
0.9430051026877692 [1,0.866667,0.918919,0.903226,0.9375,0.9375,0.967742,0.969697,0.965517,0.967742]
f_measure
0.8999816441082418 [1,0.866667,0.857143,0.888889,0.866667,0.875,0.967742,0.9375,0.9375,0.8]
f_measure
0.9292033765128178 [1,0.857143,0.941176,0.969697,0.9375,0.903226,0.909091,1,0.969697,0.8]
f_measure
0.9176016917522771 [0.967742,0.814815,0.914286,0.967742,0.903226,0.933333,0.909091,0.969697,0.941176,0.848485]
f_measure
0.9062432215275614 [0.967742,0.827586,0.810811,0.903226,0.896552,0.896552,0.969697,1,0.848485,0.941176]
kappa
0.9305555555555556
kappa
0.9583333333333334
kappa
0.9166630496115283
kappa
0.9021710468489057
kappa
0.8881709086113676
kappa
0.9370906053545522
kappa
0.8881659926147354
kappa
0.9231208791208791
kappa
0.9091388632467361
kappa
0.8951694431014021
kb_relative_information_score
0.9346399065218246
kb_relative_information_score
0.9608289534892738
kb_relative_information_score
0.9216124939664726
kb_relative_information_score
0.9079416829050635
kb_relative_information_score
0.8947389395683035
kb_relative_information_score
0.9407279601481249
kb_relative_information_score
0.8946444494632866
kb_relative_information_score
0.9273709308538048
kb_relative_information_score
0.9143458805796546
kb_relative_information_score
0.9013523418674214
mean_absolute_error
0.012499999999999999
mean_absolute_error
0.0075
mean_absolute_error
0.015
mean_absolute_error
0.017610062893081764
mean_absolute_error
0.020125786163522015
mean_absolute_error
0.011320754716981131
mean_absolute_error
0.020125786163522015
mean_absolute_error
0.013836477987421382
mean_absolute_error
0.016352201257861635
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
0.9401797385620915 [1,0.9375,0.777778,0.941176,0.933333,1,0.941176,1,0.933333,0.9375]
precision
0.9660947712418302 [1,0.882353,0.888889,1,1,1,1,1,1,0.882353]
precision
0.9277925857843137 [1,1,0.833333,0.941176,0.8125,0.882353,0.941176,0.933333,1,0.9375]
precision
0.9191409897292249 [1,0.933333,0.833333,0.866667,1,0.928571,0.8,1,1,0.823529]
precision
0.907304324729408 [0.941176,0.923077,0.833333,1,0.75,0.933333,0.833333,1,1,0.866667]
precision
0.9456716963514966 [1,0.928571,0.85,0.933333,0.9375,0.9375,1,0.941176,1,0.9375]
precision
0.9069046436846834 [1,0.928571,0.789474,1,0.928571,0.875,0.9375,0.9375,0.9375,0.736842]
precision
0.9305112530417748 [1,0.923077,0.888889,0.941176,0.9375,0.933333,0.882353,1,0.941176,0.857143]
precision
0.9228439052990721 [1,0.916667,0.842105,1,0.933333,1,0.882353,0.941176,0.888889,0.823529]
precision
0.9152026622614858 [1,0.923077,0.714286,0.933333,0.928571,1,0.941176,1,0.823529,0.888889]
predictive_accuracy
0.9375
predictive_accuracy
0.9625
predictive_accuracy
0.925
predictive_accuracy
0.9119496855345912
predictive_accuracy
0.89937106918239
predictive_accuracy
0.9433962264150944
predictive_accuracy
0.89937106918239
predictive_accuracy
0.9308176100628931
predictive_accuracy
0.9182389937106918
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
0.9375 [0.9375,0.9375,0.875,1,0.875,0.9375,1,1,0.875,0.9375]
recall
0.9625 [0.9375,0.9375,1,0.9375,1,0.875,0.9375,1,1,1]
recall
0.925 [1,0.8125,0.9375,1,0.8125,0.882353,1,0.875,0.9375,1]
recall
0.9119496855345912 [0.9375,0.875,0.9375,0.8125,0.9375,0.8125,1,0.9375,0.9375,0.933333]
recall
0.89937106918239 [1,0.75,0.882353,0.9375,0.9375,0.875,0.9375,0.8125,1,0.866667]
recall
0.9433962264150944 [1,0.8125,1,0.875,0.9375,0.9375,0.9375,1,0.933333,1]
recall
0.89937106918239 [1,0.8125,0.9375,0.8,0.8125,0.875,1,0.9375,0.9375,0.875]
recall
0.9308176100628931 [1,0.8,1,1,0.9375,0.875,0.9375,1,1,0.75]
recall
0.9182389937106918 [0.9375,0.733333,1,0.9375,0.875,0.875,0.9375,1,1,0.875]
recall
0.9056603773584906 [0.9375,0.75,0.9375,0.875,0.866667,0.8125,1,1,0.875,1]
relative_absolute_error
0.06944444444444459
relative_absolute_error
0.04166774973356563
relative_absolute_error
0.08333549946713126
relative_absolute_error
0.09783551670771867
relative_absolute_error
0.11181396889890642
relative_absolute_error
0.06289535750563485
relative_absolute_error
0.1118110442178504
relative_absolute_error
0.07686975779029433
relative_absolute_error
0.09084607738852966
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
0.11180339887498948
root_mean_squared_error
0.08660254037844387
root_mean_squared_error
0.1224744871391589
root_mean_squared_error
0.13270291214996663
root_mean_squared_error
0.14186538042638175
root_mean_squared_error
0.1063990353197863
root_mean_squared_error
0.14186538042638175
root_mean_squared_error
0.11762855940383433
root_mean_squared_error
0.12787572583513118
root_mean_squared_error
0.13736056394868904
root_relative_squared_error
0.37267492642360117
root_relative_squared_error
0.28868026033721605
root_relative_squared_error
0.40825553935828673
root_relative_squared_error
0.44234768876472147
root_relative_squared_error
0.47289781707593925
root_relative_squared_error
0.35467336280695444
root_relative_squared_error
0.4728854475619053
root_relative_squared_error
0.3920941902972384
root_relative_squared_error
0.426251323948145
root_relative_squared_error
0.45786537373313124
total_cost
0
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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total_cost
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total_cost
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usercpu_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
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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_training
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