10329879
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)
8185494
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
696.7376145562746
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5281207174959481
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.0001473666628496018
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
33710
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
21581455
description
https://api.openml.org/data/download/21581455/description.xml
-1
21581456
predictions
https://api.openml.org/data/download/21581456/predictions.arff
area_under_roc_curve
0.962682698621949 [0.98653,0.937492,0.970359,0.965067,0.951442,0.974769,0.96681,0.983075,0.950789,0.938806]
average_cost
0
f_measure
0.9330728771898132 [0.978193,0.87037,0.911765,0.937107,0.914826,0.947692,0.952077,0.971963,0.934641,0.910299]
kappa
0.9253638082493854
kb_relative_information_score
0.9296270841527359
mean_absolute_error
0.013433772755806626
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9342587340458113 [0.98125,0.849398,0.870787,0.937107,0.917722,0.939024,0.967532,0.975,0.966216,0.938356]
predictive_accuracy
0.9328311362209668
prior_entropy
3.3218194939376526
recall
0.9328311362209667 [0.975155,0.892405,0.95679,0.937107,0.91195,0.956522,0.937107,0.968944,0.905063,0.883871]
relative_absolute_error
0.0746333081395168
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.11590415331560222
root_relative_squared_error
0.38635040017615163
total_cost
0
area_under_roc_curve
0.9583333333333334 [0.96875,0.958333,0.930556,0.996528,0.958333,1,0.90625,0.996528,0.902778,0.965278]
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
0.9649857185068453 [1,0.92701,0.963546,0.934003,0.961757,0.996503,0.9375,0.996503,0.966667,0.966667]
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
0.9755487567987569 [1,0.929861,0.993007,0.9375,0.965253,1,0.996503,0.96875,1,0.961757]
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
0.924756014803535 [0.967742,0.882353,0.875,0.969697,0.882353,1,0.896552,0.969697,0.866667,0.9375]
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
0.9373889042283696 [1,0.848485,0.914286,0.903226,0.909091,0.969697,0.933333,0.969697,0.965517,0.965517]
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
0.9558799355544783 [1,0.896552,0.941176,0.933333,0.9375,1,0.969697,0.967742,1,0.909091]
f_measure
0.9373587189168442 [0.967742,0.875,0.914286,0.969697,0.928571,0.875,1,1,0.875,0.967742]
kappa
0.9166666666666667
kappa
0.9166558145591874
kappa
0.909710465772453
kappa
0.9231242582743616
kappa
0.8951371790362294
kappa
0.9301006726161691
kappa
0.9231174996703152
kappa
0.9580696202531646
kappa
0.951079073447321
kappa
0.9301098901098901
kb_relative_information_score
0.9215142306324238
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
0.9341141486807103
kb_relative_information_score
0.9274173772652216
kb_relative_information_score
0.9603870632841053
kb_relative_information_score
0.9538670832385434
kb_relative_information_score
0.9341533151905219
mean_absolute_error
0.015
mean_absolute_error
0.015
mean_absolute_error
0.01625
mean_absolute_error
0.013836477987421382
mean_absolute_error
0.01886792452830189
mean_absolute_error
0.012578616352201257
mean_absolute_error
0.013836477987421382
mean_absolute_error
0.007547169811320755
mean_absolute_error
0.00880503144654088
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
0.9290091036414566 [1,0.833333,0.875,0.941176,0.833333,1,1,0.941176,0.928571,0.9375]
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
0.9399761581781559 [1,0.823529,0.888889,0.933333,0.882353,0.941176,1,0.941176,1,1]
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
0.9580331084215657 [1,0.928571,0.888889,1,0.9375,1,0.941176,1,1,0.882353]
precision
0.940456023521623 [1,0.875,0.842105,0.941176,1,0.875,1,1,0.875,1]
predictive_accuracy
0.925
predictive_accuracy
0.925
predictive_accuracy
0.91875
predictive_accuracy
0.9308176100628931
predictive_accuracy
0.9056603773584905
predictive_accuracy
0.9371069182389937
predictive_accuracy
0.9308176100628931
predictive_accuracy
0.9622641509433962
predictive_accuracy
0.9559748427672956
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
0.925 [0.9375,0.9375,0.875,1,0.9375,1,0.8125,1,0.8125,0.9375]
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
0.9371069182389937 [1,0.875,0.941176,0.875,0.9375,1,0.875,1,0.933333,0.933333]
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
0.9559748427672956 [1,0.866667,1,0.875,0.9375,1,1,0.9375,1,0.9375]
recall
0.9371069182389937 [0.9375,0.875,1,1,0.866667,0.875,1,1,0.875,0.9375]
relative_absolute_error
0.0833333333333335
relative_absolute_error
0.08333549946713126
relative_absolute_error
0.09028012442272554
relative_absolute_error
0.07687076312749323
relative_absolute_error
0.10482559584272476
relative_absolute_error
0.0698837305618165
relative_absolute_error
0.07687009289977213
relative_absolute_error
0.041928958794706
relative_absolute_error
0.04891711859382366
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
0.1224744871391589
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
0.11215443081840885
root_mean_squared_error
0.11762855940383433
root_mean_squared_error
0.08687444855261388
root_mean_squared_error
0.09383512906444409
root_mean_squared_error
0.11215443081840885
root_relative_squared_error
0.4082449276375689
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
0.37385855062040885
root_relative_squared_error
0.3920958995955309
root_relative_squared_error
0.2895807509281278
root_relative_squared_error
0.31278295966923786
root_relative_squared_error
0.3738455121782971
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
478.6438139999518
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_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
512.6118659973145
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
56.83755874633789
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
55.44567108154297
wall_clock_time_millis_testing
104.47216033935547
wall_clock_time_millis_testing
55.99546432495117
wall_clock_time_millis_testing
55.498361587524414
wall_clock_time_millis_testing
55.46689033508301
wall_clock_time_millis_testing
56.58245086669922
wall_clock_time_millis_training
421.8592643737793
wall_clock_time_millis_training
458.01258087158203
wall_clock_time_millis_training
524.7035026550293
wall_clock_time_millis_training
437.96300888061523
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
505.706787109375
wall_clock_time_millis_training
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wall_clock_time_millis_training
485.36229133605957