10329864
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)
8185479
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
0.17044155665301808
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7998722329939914
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.006336655033356123
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
23350
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
21581425
description
https://api.openml.org/data/download/21581425/description.xml
-1
21581426
predictions
https://api.openml.org/data/download/21581426/predictions.arff
area_under_roc_curve
0.9113830772771866 [0.982689,0.87841,0.880794,0.904621,0.928048,0.892976,0.91545,0.94783,0.925559,0.855379]
average_cost
0
f_measure
0.8425435460064109 [0.945783,0.807947,0.7,0.863787,0.838323,0.847682,0.886667,0.904025,0.841463,0.788732]
kappa
0.8228132020196269
kb_relative_information_score
0.833073089423576
mean_absolute_error
0.03188951663527946
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.8520678288599045 [0.918129,0.847222,0.610092,0.915493,0.8,0.907801,0.943262,0.901235,0.811765,0.868217]
predictive_accuracy
0.8405524168236034
prior_entropy
3.3218194939376526
recall
0.8405524168236033 [0.975155,0.772152,0.820988,0.81761,0.880503,0.795031,0.836478,0.906832,0.873418,0.722581]
relative_absolute_error
0.17716691838726517
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.17857636079638162
root_relative_squared_error
0.5952595009069058
total_cost
0
area_under_roc_curve
0.9097222222222221 [0.961806,0.899306,0.861111,0.902778,0.961806,0.9375,0.90625,0.958333,0.833333,0.875]
area_under_roc_curve
0.8889603930552207 [0.958333,0.836806,0.857639,0.840278,0.923611,0.871528,0.902778,0.908268,0.934028,0.852874]
area_under_roc_curve
0.9062014374514374 [0.996528,0.861111,0.878472,1,0.909722,0.87536,0.90625,0.934028,0.895833,0.8]
area_under_roc_curve
0.9091151903651904 [0.930507,0.961757,0.864292,0.840253,0.9375,0.86451,0.996503,0.875,0.923514,0.896528]
area_under_roc_curve
0.9056416001838536 [0.993007,0.805507,0.868268,0.965253,0.888767,0.92701,0.892264,0.96875,0.952778,0.793056]
area_under_roc_curve
0.9264492842837914 [1,0.934003,0.913007,0.836757,0.954764,0.934003,0.90625,0.961757,0.893056,0.929861]
area_under_roc_curve
0.9090902251113521 [0.992958,0.899257,0.878278,0.893056,0.899257,0.871503,0.9,0.961757,0.92701,0.861014]
area_under_roc_curve
0.926597707847708 [0.996503,0.863194,0.923514,0.930507,0.95826,0.90625,0.90625,0.951267,0.98951,0.836757]
area_under_roc_curve
0.9196289821289823 [0.996503,0.893056,0.829764,0.934003,0.92701,0.868007,0.930507,0.965253,0.982517,0.868007]
area_under_roc_curve
0.9126845376845378 [1,0.829764,0.933785,0.902753,0.919444,0.875,0.90625,0.996503,0.923514,0.840253]
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
0.8445319970439383 [0.909091,0.83871,0.619048,0.866667,0.909091,0.933333,0.896552,0.882353,0.733333,0.857143]
f_measure
0.8069534671116163 [0.882353,0.758621,0.604651,0.785714,0.823529,0.827586,0.866667,0.875,0.903226,0.733333]
f_measure
0.8337925558252373 [0.969697,0.75,0.702703,1,0.736842,0.8125,0.896552,0.903226,0.8125,0.75]
f_measure
0.8418031783813836 [0.875,0.909091,0.634146,0.785714,0.933333,0.774194,0.969697,0.857143,0.823529,0.857143]
f_measure
0.8270457002331981 [0.941176,0.714286,0.764706,0.9375,0.764706,0.848485,0.787879,0.967742,0.848485,0.692308]
f_measure
0.8695458720276652 [1,0.903226,0.75,0.758621,0.857143,0.903226,0.896552,0.909091,0.827586,0.896552]
f_measure
0.8380328700915516 [0.944444,0.83871,0.702703,0.827586,0.83871,0.827586,0.888889,0.909091,0.848485,0.75]
f_measure
0.8667986311524142 [0.969697,0.814815,0.823529,0.875,0.882353,0.896552,0.896552,0.833333,0.914286,0.758621]
f_measure
0.8537672430509337 [0.969697,0.827586,0.709677,0.903226,0.848485,0.8,0.875,0.9375,0.864865,0.8]
f_measure
0.8455250718542316 [1,0.709677,0.731707,0.866667,0.8125,0.857143,0.896552,0.969697,0.823529,0.785714]
kappa
0.8194444444444444
kappa
0.7777777777777778
kappa
0.8124511591560303
kappa
0.8182857142857143
kappa
0.8112884082816828
kappa
0.8531791399173336
kappa
0.8182377769961309
kappa
0.8532243175524199
kappa
0.8392598127554833
kappa
0.8253054408016174
kb_relative_information_score
0.8298405991996348
kb_relative_information_score
0.7907123537538909
kb_relative_information_score
0.8232348318641912
kb_relative_information_score
0.8290763563627134
kb_relative_information_score
0.8220706982733654
kb_relative_information_score
0.8617516086391913
kb_relative_information_score
0.8288396041899895
kb_relative_information_score
0.8616287832104602
kb_relative_information_score
0.8487077705798121
kb_relative_information_score
0.8352145657236144
mean_absolute_error
0.032500000000000015
mean_absolute_error
0.04000000000000002
mean_absolute_error
0.033750000000000016
mean_absolute_error
0.032704402515723284
mean_absolute_error
0.03396226415094341
mean_absolute_error
0.02641509433962265
mean_absolute_error
0.032704402515723284
mean_absolute_error
0.02641509433962265
mean_absolute_error
0.0289308176100629
mean_absolute_error
0.03144654088050316
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
0.8678991596638654 [0.882353,0.866667,0.5,0.928571,0.882353,1,1,0.833333,0.785714,1]
precision
0.8319561457061457 [0.833333,0.846154,0.481481,0.916667,0.777778,0.923077,0.928571,0.933333,0.933333,0.733333]
precision
0.8550754392666157 [0.941176,0.75,0.619048,1,0.636364,0.866667,1,0.933333,0.8125,1]
precision
0.8632310411666682 [0.875,0.882353,0.52,0.916667,1,0.8,0.941176,1,0.777778,0.923077]
precision
0.8330960362036943 [0.888889,0.833333,0.764706,0.9375,0.722222,0.823529,0.764706,1,0.777778,0.818182]
precision
0.8806731133256199 [1,0.933333,0.652174,0.846154,0.789474,0.933333,1,0.882353,0.857143,0.928571]
precision
0.8476044831906738 [0.894737,0.866667,0.619048,0.857143,0.866667,0.923077,1,0.882353,0.823529,0.75]
precision
0.87797954123382 [0.941176,0.916667,0.777778,0.875,0.833333,1,1,0.75,0.842105,0.846154]
precision
0.8577242217641773 [0.941176,0.857143,0.733333,0.933333,0.823529,0.857143,0.875,0.9375,0.761905,0.857143]
precision
0.8668616293477558 [1,0.733333,0.6,0.928571,0.764706,1,1,0.941176,0.777778,0.916667]
predictive_accuracy
0.8375
predictive_accuracy
0.8
predictive_accuracy
0.83125
predictive_accuracy
0.8364779874213837
predictive_accuracy
0.8301886792452831
predictive_accuracy
0.8679245283018868
predictive_accuracy
0.8364779874213837
predictive_accuracy
0.8679245283018868
predictive_accuracy
0.8553459119496856
predictive_accuracy
0.8427672955974843
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
0.8375 [0.9375,0.8125,0.8125,0.8125,0.9375,0.875,0.8125,0.9375,0.6875,0.75]
recall
0.8 [0.9375,0.6875,0.8125,0.6875,0.875,0.75,0.8125,0.823529,0.875,0.733333]
recall
0.83125 [1,0.75,0.8125,1,0.875,0.764706,0.8125,0.875,0.8125,0.6]
recall
0.8364779874213837 [0.875,0.9375,0.8125,0.6875,0.875,0.75,1,0.75,0.875,0.8]
recall
0.8301886792452831 [1,0.625,0.764706,0.9375,0.8125,0.875,0.8125,0.9375,0.933333,0.6]
recall
0.8679245283018868 [1,0.875,0.882353,0.6875,0.9375,0.875,0.8125,0.9375,0.8,0.866667]
recall
0.8364779874213837 [1,0.8125,0.8125,0.8,0.8125,0.75,0.8,0.9375,0.875,0.75]
recall
0.8679245283018868 [1,0.733333,0.875,0.875,0.9375,0.8125,0.8125,0.9375,1,0.6875]
recall
0.8553459119496856 [1,0.8,0.6875,0.875,0.875,0.75,0.875,0.9375,1,0.75]
recall
0.8427672955974843 [1,0.6875,0.9375,0.8125,0.866667,0.75,0.8125,1,0.875,0.6875]
relative_absolute_error
0.180555555555556
relative_absolute_error
0.22222799857901682
relative_absolute_error
0.18750487380104544
relative_absolute_error
0.18169453102862046
relative_absolute_error
0.18868607251690464
relative_absolute_error
0.1467558341798147
relative_absolute_error
0.18169294685400697
relative_absolute_error
0.14675135578147103
relative_absolute_error
0.16072767537970634
relative_absolute_error
0.17470323337213248
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
0.1802775637731995
root_mean_squared_error
0.20000000000000007
root_mean_squared_error
0.1837117307087384
root_mean_squared_error
0.18084358577434612
root_mean_squared_error
0.1842885350501854
root_mean_squared_error
0.16252721107440024
root_mean_squared_error
0.18084358577434612
root_mean_squared_error
0.16252721107440024
root_mean_squared_error
0.1700906158788982
root_mean_squared_error
0.1773317255329772
root_relative_squared_error
0.6009202626310542
root_relative_squared_error
0.6666785040616919
root_relative_squared_error
0.6123833090374303
root_relative_squared_error
0.6028182870983572
root_relative_squared_error
0.6143122844729549
root_relative_squared_error
0.541772510682468
root_relative_squared_error
0.6028130312030532
root_relative_squared_error
0.5417559778888871
root_relative_squared_error
0.5669672624420601
root_relative_squared_error
0.5911016557578175
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
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total_cost
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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
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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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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
1096.6413021087646
wall_clock_time_millis
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wall_clock_time_millis
1107.9702377319336
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
1103.5516262054443
wall_clock_time_millis
1218.3012962341309
wall_clock_time_millis
1192.9140090942383
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
103.26313972473145
wall_clock_time_millis_testing
103.7132740020752
wall_clock_time_millis_testing
103.45292091369629
wall_clock_time_millis_testing
102.60820388793945
wall_clock_time_millis_testing
102.45013236999512
wall_clock_time_millis_testing
102.77605056762695
wall_clock_time_millis_testing
137.43829727172852
wall_clock_time_millis_testing
102.70929336547852
wall_clock_time_millis_testing
102.77342796325684
wall_clock_time_millis_testing
102.69951820373535
wall_clock_time_millis_training
993.3781623840332
wall_clock_time_millis_training
987.1315956115723
wall_clock_time_millis_training
1004.5173168182373
wall_clock_time_millis_training
999.6161460876465
wall_clock_time_millis_training
995.6400394439697
wall_clock_time_millis_training
1000.7755756378174
wall_clock_time_millis_training
1080.8629989624023
wall_clock_time_millis_training
1090.2047157287598
wall_clock_time_millis_training
1080.2533626556396
wall_clock_time_millis_training
1018.6879634857178