10329808
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)
8185424
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
1479.684750929223
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.9352863440122492
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
5.9403103232131136e-05
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
40795
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
21581313
description
https://api.openml.org/data/download/21581313/description.xml
-1
21581314
predictions
https://api.openml.org/data/download/21581314/predictions.arff
area_under_roc_curve
0.9637289687432307 [0.98653,0.938189,0.970708,0.968211,0.951442,0.974769,0.96681,0.983075,0.953954,0.942032]
average_cost
0
f_measure
0.9349104307376415 [0.978193,0.875776,0.914454,0.940439,0.914826,0.947692,0.952077,0.971963,0.938111,0.913907]
kappa
0.9274566023459516
kb_relative_information_score
0.9316055903744257
mean_absolute_error
0.013057124921531675
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9358889651845742 [0.98125,0.859756,0.875706,0.9375,0.917722,0.939024,0.967532,0.975,0.966443,0.938776]
predictive_accuracy
0.9347143753923415
prior_entropy
3.3218194939376526
recall
0.9347143753923415 [0.975155,0.892405,0.95679,0.943396,0.91195,0.956522,0.937107,0.968944,0.911392,0.890323]
relative_absolute_error
0.07254078548139951
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.11426777726696041
root_relative_squared_error
0.3808957678515451
total_cost
0
area_under_roc_curve
0.9618055555555557 [0.96875,0.961806,0.930556,0.996528,0.958333,1,0.90625,0.996528,0.934028,0.965278]
area_under_roc_curve
0.9583329984192052 [0.965278,0.923611,0.989583,0.9375,0.965278,0.9375,0.934028,0.996503,0.96875,0.963218]
area_under_roc_curve
0.9548364949227018 [0.996528,0.961806,0.958333,0.989583,0.902778,0.934183,1,0.9375,0.9375,0.929885]
area_under_roc_curve
0.9615627428127428 [0.96875,0.996503,0.95826,0.902753,0.96875,0.986014,1,0.96875,0.934003,0.929861]
area_under_roc_curve
0.9475028590345493 [0.996503,0.857517,0.930613,0.996503,0.961757,1,0.961757,0.96875,0.966667,0.829861]
area_under_roc_curve
0.9684822220033488 [1,0.930507,0.963546,0.934003,0.961757,0.996503,0.9375,0.996503,0.966667,1]
area_under_roc_curve
0.9615870240870241 [1,0.92701,1,0.963194,0.934003,0.996503,0.929861,0.996503,0.934003,0.930507]
area_under_roc_curve
0.9790452602952603 [1,0.963194,0.993007,0.996503,0.961757,0.96875,1,1,0.96875,0.9375]
area_under_roc_curve
0.9790452602952603 [1,0.929861,0.996503,0.96875,0.965253,1,0.996503,0.96875,1,0.961757]
area_under_roc_curve
0.965034965034965 [0.96875,0.930507,0.98951,0.996503,0.933333,0.930507,1,1,0.930507,0.96875]
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
0.9310857255734734 [0.967742,0.909091,0.875,0.969697,0.882353,1,0.896552,0.969697,0.903226,0.9375]
f_measure
0.9257592391795427 [0.9375,0.823529,0.914286,0.933333,0.9375,0.933333,0.903226,0.971429,0.967742,0.933333]
f_measure
0.9186777108962707 [0.969697,0.909091,0.882353,0.914286,0.866667,0.882353,1,0.933333,0.933333,0.896552]
f_measure
0.9312779190653114 [0.967742,0.969697,0.882353,0.866667,0.967742,0.888889,1,0.967742,0.903226,0.896552]
f_measure
0.9046169525528142 [0.969697,0.727273,0.857143,0.969697,0.909091,1,0.909091,0.967742,0.965517,0.769231]
f_measure
0.9433101860117202 [1,0.875,0.914286,0.903226,0.909091,0.969697,0.933333,0.969697,0.965517,1]
f_measure
0.9305507061294415 [1,0.848485,1,0.933333,0.903226,0.969697,0.896552,0.969697,0.903226,0.875]
f_measure
0.9623931123197172 [1,0.933333,0.941176,0.969697,0.909091,0.967742,1,1,0.967742,0.933333]
f_measure
0.9622124237315118 [1,0.896552,0.969697,0.967742,0.9375,1,0.969697,0.967742,1,0.909091]
f_measure
0.9373587189168442 [0.967742,0.875,0.914286,0.969697,0.928571,0.875,1,1,0.875,0.967742]
kappa
0.9236111111111112
kappa
0.9166558145591874
kappa
0.909710465772453
kappa
0.9231242582743616
kappa
0.8951371790362294
kappa
0.9370933708457887
kappa
0.9231174996703152
kappa
0.9580696202531646
kappa
0.9580677772405609
kappa
0.9301098901098901
kb_relative_information_score
0.9280696604250736
kb_relative_information_score
0.9214916876748016
kb_relative_information_score
0.9149642462809129
kb_relative_information_score
0.9275506321920143
kb_relative_information_score
0.9010006850294416
kb_relative_information_score
0.9407581087172651
kb_relative_information_score
0.9274173772652216
kb_relative_information_score
0.9603870632841053
kb_relative_information_score
0.9604486550011715
kb_relative_information_score
0.9341533151905219
mean_absolute_error
0.013749999999999998
mean_absolute_error
0.015
mean_absolute_error
0.01625
mean_absolute_error
0.013836477987421382
mean_absolute_error
0.01886792452830189
mean_absolute_error
0.011320754716981131
mean_absolute_error
0.013836477987421382
mean_absolute_error
0.007547169811320755
mean_absolute_error
0.007547169811320755
mean_absolute_error
0.012578616352201257
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
0.9343872549019607 [1,0.882353,0.875,0.941176,0.833333,1,1,0.941176,0.933333,0.9375]
precision
0.9306688596491227 [0.9375,0.777778,0.842105,1,0.9375,1,0.933333,0.944444,1,0.933333]
precision
0.9235575151113077 [0.941176,0.882353,0.833333,0.842105,0.928571,0.882353,1,1,1,0.928571]
precision
0.9365484558603315 [1,0.941176,0.833333,0.928571,1,0.8,1,1,0.933333,0.928571]
precision
0.9084911265821365 [0.941176,0.705882,0.833333,0.941176,0.882353,1,0.882353,1,1,0.909091]
precision
0.9451555884408271 [1,0.875,0.888889,0.933333,0.882353,0.941176,1,0.941176,1,1]
precision
0.9313795958635027 [1,0.823529,1,0.933333,0.933333,0.941176,0.928571,0.941176,0.933333,0.875]
precision
0.9647716528959591 [1,0.933333,0.888889,0.941176,0.882353,1,1,1,1,1]
precision
0.9632947518630095 [1,0.928571,0.941176,1,0.9375,1,0.941176,1,1,0.882353]
precision
0.940456023521623 [1,0.875,0.842105,0.941176,1,0.875,1,1,0.875,1]
predictive_accuracy
0.93125
predictive_accuracy
0.925
predictive_accuracy
0.91875
predictive_accuracy
0.9308176100628931
predictive_accuracy
0.9056603773584905
predictive_accuracy
0.9433962264150944
predictive_accuracy
0.9308176100628931
predictive_accuracy
0.9622641509433962
predictive_accuracy
0.9622641509433962
predictive_accuracy
0.9371069182389937
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
0.93125 [0.9375,0.9375,0.875,1,0.9375,1,0.8125,1,0.875,0.9375]
recall
0.925 [0.9375,0.875,1,0.875,0.9375,0.875,0.875,1,0.9375,0.933333]
recall
0.91875 [1,0.9375,0.9375,1,0.8125,0.882353,1,0.875,0.875,0.866667]
recall
0.9308176100628931 [0.9375,1,0.9375,0.8125,0.9375,1,1,0.9375,0.875,0.866667]
recall
0.9056603773584906 [1,0.75,0.882353,1,0.9375,1,0.9375,0.9375,0.933333,0.666667]
recall
0.9433962264150944 [1,0.875,0.941176,0.875,0.9375,1,0.875,1,0.933333,1]
recall
0.9308176100628931 [1,0.875,1,0.933333,0.875,1,0.866667,1,0.875,0.875]
recall
0.9622641509433962 [1,0.933333,1,1,0.9375,0.9375,1,1,0.9375,0.875]
recall
0.9622641509433962 [1,0.866667,1,0.9375,0.9375,1,1,0.9375,1,0.9375]
recall
0.9371069182389937 [0.9375,0.875,1,1,0.866667,0.875,1,1,0.875,0.9375]
relative_absolute_error
0.07638888888888903
relative_absolute_error
0.08333549946713126
relative_absolute_error
0.09028012442272554
relative_absolute_error
0.07687076312749323
relative_absolute_error
0.10482559584272476
relative_absolute_error
0.06289535750563485
relative_absolute_error
0.07687009289977213
relative_absolute_error
0.041928958794706
relative_absolute_error
0.041928958794706
relative_absolute_error
0.06988129334885296
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
0.11726039399558573
root_mean_squared_error
0.1224744871391589
root_mean_squared_error
0.12747548783981963
root_mean_squared_error
0.11762855940383433
root_mean_squared_error
0.13736056394868904
root_mean_squared_error
0.1063990353197863
root_mean_squared_error
0.11762855940383433
root_mean_squared_error
0.08687444855261388
root_mean_squared_error
0.08687444855261388
root_mean_squared_error
0.11215443081840885
root_relative_squared_error
0.3908647603242331
root_relative_squared_error
0.40825553935828673
root_relative_squared_error
0.4249258376879266
root_relative_squared_error
0.3920993182591807
root_relative_squared_error
0.45788134249823853
root_relative_squared_error
0.35467336280695444
root_relative_squared_error
0.3920958995955309
root_relative_squared_error
0.2895807509281278
root_relative_squared_error
0.2895807509281278
root_relative_squared_error
0.3738455121782971
total_cost
0
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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usercpu_time_millis
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usercpu_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_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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