10329913
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)
8185528
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
0.17043643978607886
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.259782057260844
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.07353964847134783
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
53953
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
21581523
description
https://api.openml.org/data/download/21581523/description.xml
-1
21581524
predictions
https://api.openml.org/data/download/21581524/predictions.arff
area_under_roc_curve
0.7020358244793423 [0.823274,0.698522,0.659038,0.645055,0.730329,0.671983,0.718053,0.751846,0.650329,0.669808]
average_cost
0
f_measure
0.46561665574431377 [0.616622,0.47619,0.331897,0.380282,0.494118,0.448529,0.550943,0.525714,0.398524,0.432234]
kappa
0.4041476852405424
kb_relative_information_score
0.43911514425052367
mean_absolute_error
0.1072190834902692
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.49076798412364037 [0.542453,0.514706,0.254967,0.432,0.464088,0.54955,0.688679,0.486772,0.477876,0.5]
predictive_accuracy
0.4639045825486503
prior_entropy
3.3218194939376526
recall
0.46390458254865036 [0.714286,0.443038,0.475309,0.339623,0.528302,0.378882,0.459119,0.571429,0.341772,0.380645]
relative_absolute_error
0.5956714500107201
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.32744325232056504
root_relative_squared_error
1.0914866115673636
total_cost
0
area_under_roc_curve
0.6944444444444444 [0.802083,0.690972,0.534722,0.541667,0.875,0.774306,0.652778,0.795139,0.659722,0.618056]
area_under_roc_curve
0.6701362095758647 [0.767361,0.645833,0.680556,0.600694,0.770833,0.697917,0.673611,0.648499,0.545139,0.672414]
area_under_roc_curve
0.7257888902285454 [0.892361,0.722222,0.71875,0.65625,0.680556,0.721308,0.829861,0.75,0.673611,0.605747]
area_under_roc_curve
0.7204011266511265 [0.888549,0.666521,0.770105,0.680507,0.795017,0.538024,0.84375,0.666521,0.670017,0.682639]
area_under_roc_curve
0.6991981023671164 [0.801792,0.590035,0.678956,0.725524,0.649038,0.729021,0.732517,0.725524,0.679167,0.679167]
area_under_roc_curve
0.698976834980356 [0.850524,0.795017,0.650787,0.663024,0.704545,0.604021,0.64576,0.808785,0.615972,0.645833]
area_under_roc_curve
0.6959221822778161 [0.788318,0.795017,0.589816,0.661806,0.656031,0.638767,0.719444,0.708042,0.631774,0.763767]
area_under_roc_curve
0.6853875291375291 [0.788024,0.622917,0.641827,0.635271,0.742788,0.635271,0.697771,0.780813,0.659528,0.64576]
area_under_roc_curve
0.6925019425019425 [0.840035,0.705556,0.652316,0.628278,0.617788,0.701267,0.642264,0.763549,0.701267,0.673514]
area_under_roc_curve
0.737883644133644 [0.815778,0.746285,0.673077,0.659528,0.815972,0.67701,0.743007,0.878278,0.666521,0.70826]
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
0.45193791153237894 [0.564103,0.451613,0.173913,0.166667,0.684211,0.666667,0.454545,0.645161,0.4,0.3125]
f_measure
0.40028640813602745 [0.512821,0.416667,0.333333,0.296296,0.526316,0.482759,0.461538,0.387097,0.173913,0.413793]
f_measure
0.5069957239046164 [0.787879,0.5,0.418605,0.387097,0.411765,0.551724,0.709677,0.529412,0.461538,0.296296]
f_measure
0.4935257815576269 [0.636364,0.428571,0.413793,0.5,0.645161,0.16,0.814815,0.428571,0.444444,0.461538]
f_measure
0.45883658967153595 [0.564103,0.266667,0.390244,0.516129,0.363636,0.533333,0.551724,0.516129,0.444444,0.444444]
f_measure
0.45444733378196445 [0.685714,0.645161,0.326531,0.413793,0.432432,0.307692,0.416667,0.594595,0.333333,0.384615]
f_measure
0.45685157453825176 [0.578947,0.645161,0.25,0.375,0.387097,0.384615,0.538462,0.444444,0.357143,0.6]
f_measure
0.4314098842834475 [0.606061,0.363636,0.311111,0.37037,0.5,0.37037,0.482759,0.488889,0.4,0.416667]
f_measure
0.4449085110387031 [0.631579,0.466667,0.333333,0.344828,0.3125,0.5,0.4,0.5,0.5,0.461538]
f_measure
0.5314016115656804 [0.628571,0.514286,0.347826,0.4,0.666667,0.48,0.615385,0.702703,0.428571,0.538462]
kappa
0.38888888888888884
kappa
0.3402777777777778
kappa
0.4513888888888889
kappa
0.4408299630736768
kappa
0.39860139860139865
kappa
0.39828382838283827
kappa
0.39179563841013015
kappa
0.37082307421737604
kappa
0.3850210970464135
kappa
0.47587025316455694
kb_relative_information_score
0.4245697962030811
kb_relative_information_score
0.3787714641860172
kb_relative_information_score
0.4832007215191731
kb_relative_information_score
0.4735518129934775
kb_relative_information_score
0.43408125299815997
kb_relative_information_score
0.43408059129362747
kb_relative_information_score
0.4279527089292385
kb_relative_information_score
0.4077297739160181
kb_relative_information_score
0.42092501223038753
kb_relative_information_score
0.5064802911360359
mean_absolute_error
0.1099999999999998
mean_absolute_error
0.11874999999999977
mean_absolute_error
0.09874999999999985
mean_absolute_error
0.1006289308176099
mean_absolute_error
0.10817610062893064
mean_absolute_error
0.10817610062893064
mean_absolute_error
0.10943396226415075
mean_absolute_error
0.11320754716981112
mean_absolute_error
0.11069182389937088
mean_absolute_error
0.0943396226415093
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
0.4978423207227555 [0.478261,0.466667,0.133333,0.25,0.590909,0.818182,0.833333,0.666667,0.428571,0.3125]
precision
0.43961252134593093 [0.434783,0.625,0.236842,0.363636,0.454545,0.538462,0.6,0.428571,0.285714,0.428571]
precision
0.524109477124183 [0.764706,0.5,0.333333,0.4,0.388889,0.666667,0.733333,0.5,0.6,0.333333]
precision
0.5515895704574949 [0.5,0.5,0.285714,0.75,0.666667,0.222222,1,0.5,0.545455,0.545455]
precision
0.4691384001908539 [0.478261,0.285714,0.333333,0.533333,0.352941,0.571429,0.615385,0.533333,0.5,0.5]
precision
0.4828149947812311 [0.631579,0.666667,0.25,0.461538,0.380952,0.4,0.625,0.52381,0.444444,0.454545]
precision
0.47482210723054236 [0.52381,0.666667,0.208333,0.352941,0.4,0.5,0.636364,0.4,0.416667,0.642857]
precision
0.4725296212456073 [0.588235,0.571429,0.241379,0.454545,0.45,0.454545,0.538462,0.37931,0.428571,0.625]
precision
0.4717675057297699 [0.545455,0.466667,0.269231,0.384615,0.3125,0.583333,0.555556,0.416667,0.583333,0.6]
precision
0.56941725382639 [0.578947,0.473684,0.266667,0.428571,0.666667,0.666667,0.8,0.619048,0.5,0.7]
predictive_accuracy
0.45
predictive_accuracy
0.40625
predictive_accuracy
0.50625
predictive_accuracy
0.49685534591194963
predictive_accuracy
0.4591194968553459
predictive_accuracy
0.4591194968553459
predictive_accuracy
0.45283018867924524
predictive_accuracy
0.4339622641509434
predictive_accuracy
0.4465408805031446
predictive_accuracy
0.5283018867924528
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
0.45 [0.6875,0.4375,0.25,0.125,0.8125,0.5625,0.3125,0.625,0.375,0.3125]
recall
0.40625 [0.625,0.3125,0.5625,0.25,0.625,0.4375,0.375,0.352941,0.125,0.4]
recall
0.50625 [0.8125,0.5,0.5625,0.375,0.4375,0.470588,0.6875,0.5625,0.375,0.266667]
recall
0.4968553459119497 [0.875,0.375,0.75,0.375,0.625,0.125,0.6875,0.375,0.375,0.4]
recall
0.4591194968553459 [0.6875,0.25,0.470588,0.5,0.375,0.5,0.5,0.5,0.4,0.4]
recall
0.4591194968553459 [0.75,0.625,0.470588,0.375,0.5,0.25,0.3125,0.6875,0.266667,0.333333]
recall
0.4528301886792453 [0.647059,0.625,0.3125,0.4,0.375,0.3125,0.466667,0.5,0.3125,0.5625]
recall
0.4339622641509434 [0.625,0.266667,0.4375,0.3125,0.5625,0.3125,0.4375,0.6875,0.375,0.3125]
recall
0.44654088050314467 [0.75,0.466667,0.4375,0.3125,0.3125,0.4375,0.3125,0.625,0.4375,0.375]
recall
0.5283018867924528 [0.6875,0.5625,0.5,0.375,0.666667,0.375,0.5,0.8125,0.375,0.4375]
relative_absolute_error
0.6111111111111113
relative_absolute_error
0.6597393707814545
relative_absolute_error
0.5486253714919467
relative_absolute_error
0.5590600954726771
relative_absolute_error
0.6010000828316209
relative_absolute_error
0.6010000828316209
relative_absolute_error
0.6079725529345604
relative_absolute_error
0.6289343819205888
relative_absolute_error
0.6149580623223536
relative_absolute_error
0.5241097001163965
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
0.3316624790355397
root_mean_squared_error
0.3446012188022552
root_mean_squared_error
0.3142451272494131
root_mean_squared_error
0.3172206342872574
root_mean_squared_error
0.32890135394815667
root_mean_squared_error
0.32890135394815667
root_mean_squared_error
0.33080804443687695
root_mean_squared_error
0.33646329245522627
root_mean_squared_error
0.3327038080626233
root_mean_squared_error
0.3071475584169754
root_relative_squared_error
1.1055324902084784
root_relative_squared_error
1.148691125244616
root_relative_squared_error
1.0475023567165733
root_relative_squared_error
1.0574132257690816
root_relative_squared_error
1.0963684857287426
root_relative_squared_error
1.0963684857287426
root_relative_squared_error
1.1026954545248602
root_relative_squared_error
1.1215414257268759
root_relative_squared_error
1.1090098432921025
root_relative_squared_error
1.0238181002106272
total_cost
0
total_cost
0
total_cost
0
total_cost
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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_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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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
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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
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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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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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wall_clock_time_millis_training
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