10372981
8323
Heinrich Peters
14
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8228323
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
10488.294804194422
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.009425411398948558
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
58857
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.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21667667
description
https://api.openml.org/data/download/21667667/description.xml
-1
21667668
predictions
https://api.openml.org/data/download/21667668/predictions.arff
area_under_roc_curve
0.9138888888888888 [0.9975,0.893056,0.978333,0.950278,0.913889,0.967222,0.750556,0.949722,0.986389,0.751944]
average_cost
0
f_measure
0.8452447499697654 [0.997494,0.8,0.964824,0.912281,0.861538,0.944724,0.552764,0.890511,0.977444,0.550868]
kappa
0.8277777777777777
kb_relative_information_score
0.8379075889631011
mean_absolute_error
0.03100000000000017
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8457770873067036 [1,0.790244,0.969697,0.914573,0.884211,0.949495,0.555556,0.867299,0.979899,0.546798]
predictive_accuracy
0.845
prior_entropy
3.3219280948872383
recall
0.845 [0.995,0.81,0.96,0.91,0.84,0.94,0.55,0.915,0.975,0.555]
relative_absolute_error
0.17222222222221784
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17606816861659058
root_relative_squared_error
0.5868938953886262
total_cost
0
area_under_roc_curve
0.9249999999999998 [0.975,0.930556,0.997222,0.95,0.938889,0.975,0.783333,0.894444,0.997222,0.808333]
area_under_roc_curve
0.9000000000000001 [1,0.861111,0.975,0.891667,0.888889,0.947222,0.725,0.963889,0.975,0.772222]
area_under_roc_curve
0.9166666666666667 [1,0.933333,1,0.919444,0.963889,0.972222,0.75,0.897222,1,0.730556]
area_under_roc_curve
0.9472222222222223 [1,0.919444,0.975,0.991667,0.997222,0.975,0.880556,0.947222,0.975,0.811111]
area_under_roc_curve
0.8916666666666667 [1,0.836111,0.95,0.941667,0.894444,0.916667,0.672222,0.963889,1,0.741667]
area_under_roc_curve
0.9166666666666665 [1,0.916667,0.972222,0.894444,0.897222,0.994444,0.772222,0.994444,1,0.725]
area_under_roc_curve
0.9166666666666667 [1,0.891667,0.95,0.966667,0.894444,0.969444,0.822222,0.991667,0.997222,0.683333]
area_under_roc_curve
0.9277777777777777 [1,0.891667,0.997222,1,0.894444,0.975,0.783333,0.938889,0.972222,0.825]
area_under_roc_curve
0.9194444444444444 [1,0.894444,1,0.997222,0.925,0.975,0.633333,0.988889,1,0.780556]
area_under_roc_curve
0.8777777777777779 [1,0.855556,0.966667,0.95,0.844444,0.972222,0.683333,0.916667,0.947222,0.641667]
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
0.8644799616301542 [0.974359,0.8,0.97561,0.947368,0.857143,0.974359,0.631579,0.842105,0.97561,0.666667]
f_measure
0.8210277706789334 [1,0.75,0.974359,0.820513,0.8,0.923077,0.512821,0.883721,0.974359,0.571429]
f_measure
0.8479103025614654 [1,0.818182,1,0.871795,0.883721,0.95,0.55,0.864865,1,0.540541]
f_measure
0.9052187605013231 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.744186,0.923077,0.974359,0.684211]
f_measure
0.8051872651435299 [1,0.717949,0.947368,0.878049,0.842105,0.85,0.421053,0.883721,1,0.511628]
f_measure
0.8495981117033747 [1,0.85,0.95,0.842105,0.864865,0.952381,0.571429,0.952381,1,0.512821]
f_measure
0.8454371863672783 [1,0.820513,0.947368,0.904762,0.842105,0.926829,0.636364,0.930233,0.97561,0.470588]
f_measure
0.8702471409336203 [1,0.820513,0.97561,1,0.842105,0.974359,0.631579,0.857143,0.95,0.651163]
f_measure
0.8525696066522217 [1,0.842105,1,0.97561,0.918919,0.974359,0.375,0.909091,1,0.530612]
f_measure
0.7835336009020218 [1,0.714286,0.904762,0.947368,0.777778,0.95,0.409091,0.85,0.923077,0.358974]
kappa
0.85
kappa
0.7999999999999999
kappa
0.8333333333333333
kappa
0.8944444444444445
kappa
0.7833333333333334
kappa
0.8333333333333333
kappa
0.8333333333333333
kappa
0.8555555555555555
kappa
0.8388888888888889
kappa
0.7555555555555555
kb_relative_information_score
0.8588227387743107
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.9006530383967372
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8640515262271141
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.7699333520766547
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.019000000000000006
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.02600000000000001
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.044000000000000004
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8682709804815066 [1,0.72,0.952381,1,0.818182,1,0.666667,0.888889,0.952381,0.684211]
precision
0.8237330975660494 [1,0.75,1,0.842105,0.8,0.947368,0.526316,0.826087,1,0.545455]
precision
0.8500235563332885 [1,0.75,1,0.894737,0.826087,0.95,0.55,0.941176,1,0.588235]
precision
0.9081925829065418 [1,0.894737,1,0.869565,0.952381,1,0.695652,0.947368,1,0.722222]
precision
0.8081666121826305 [1,0.736842,1,0.857143,0.888889,0.85,0.444444,0.826087,1,0.478261]
precision
0.8520017512587171 [1,0.85,0.95,0.888889,0.941176,0.909091,0.545455,0.909091,1,0.526316]
precision
0.8476100494979213 [1,0.842105,1,0.863636,0.888889,0.904762,0.583333,0.869565,0.952381,0.571429]
precision
0.8726919241450133 [1,0.842105,0.952381,1,0.888889,1,0.666667,0.818182,0.95,0.608696]
precision
0.862287903667214 [1,0.888889,1,0.952381,1,1,0.5,0.833333,1,0.448276]
precision
0.7911244019138757 [1,0.681818,0.863636,1,0.875,0.95,0.375,0.85,0.947368,0.368421]
predictive_accuracy
0.865
predictive_accuracy
0.82
predictive_accuracy
0.85
predictive_accuracy
0.905
predictive_accuracy
0.805
predictive_accuracy
0.85
predictive_accuracy
0.85
predictive_accuracy
0.87
predictive_accuracy
0.855
predictive_accuracy
0.78
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.865 [0.95,0.9,1,0.9,0.9,0.95,0.6,0.8,1,0.65]
recall
0.82 [1,0.75,0.95,0.8,0.8,0.9,0.5,0.95,0.95,0.6]
recall
0.85 [1,0.9,1,0.85,0.95,0.95,0.55,0.8,1,0.5]
recall
0.905 [1,0.85,0.95,1,1,0.95,0.8,0.9,0.95,0.65]
recall
0.805 [1,0.7,0.9,0.9,0.8,0.85,0.4,0.95,1,0.55]
recall
0.85 [1,0.85,0.95,0.8,0.8,1,0.6,1,1,0.5]
recall
0.85 [1,0.8,0.9,0.95,0.8,0.95,0.7,1,1,0.4]
recall
0.87 [1,0.8,1,1,0.8,0.95,0.6,0.9,0.95,0.7]
recall
0.855 [1,0.8,1,1,0.85,0.95,0.3,1,1,0.65]
recall
0.78 [1,0.75,0.95,0.9,0.7,0.95,0.45,0.85,0.9,0.35]
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.10555555555555571
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.14444444444444465
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.24444444444444474
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.16431676725154987
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.13784048752090225
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.20976176963403032
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.4594682917363411
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.5374838498865704
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6992058987801015
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
0
total_cost
0
usercpu_time_millis
570.3164719998313
usercpu_time_millis
561.9628329986881
usercpu_time_millis
564.868239001953
usercpu_time_millis
575.9390479979629
usercpu_time_millis
552.8067109989934
usercpu_time_millis
566.4821550017223
usercpu_time_millis
573.5306559981836
usercpu_time_millis
568.0954199997359
usercpu_time_millis
405.3497969980526
usercpu_time_millis
401.5347259955888
usercpu_time_millis_testing
55.196571000124095
usercpu_time_millis_testing
55.169355000543874
usercpu_time_millis_testing
55.841984001745004
usercpu_time_millis_testing
54.96484899776988
usercpu_time_millis_testing
54.672285998094594
usercpu_time_millis_testing
55.21490500177606
usercpu_time_millis_testing
55.59265799820423
usercpu_time_millis_testing
53.66473100002622
usercpu_time_millis_testing
36.08550299759372
usercpu_time_millis_testing
36.42631099864957
usercpu_time_millis_training
515.1199009997072
usercpu_time_millis_training
506.7934779981442
usercpu_time_millis_training
509.02625500020804
usercpu_time_millis_training
520.974199000193
usercpu_time_millis_training
498.1344250008988
usercpu_time_millis_training
511.2672499999462
usercpu_time_millis_training
517.9379979999794
usercpu_time_millis_training
514.4306889997097
usercpu_time_millis_training
369.2642940004589
usercpu_time_millis_training
365.10841499693925
wall_clock_time_millis
570.3556537628174
wall_clock_time_millis
562.0071887969971
wall_clock_time_millis
564.9673938751221
wall_clock_time_millis
575.9749412536621
wall_clock_time_millis
553.0390739440918
wall_clock_time_millis
566.6770935058594
wall_clock_time_millis
573.7173557281494
wall_clock_time_millis
568.3455467224121
wall_clock_time_millis
405.3645133972168
wall_clock_time_millis
401.5514850616455
wall_clock_time_millis_testing
55.207252502441406
wall_clock_time_millis_testing
55.18007278442383
wall_clock_time_millis_testing
55.92918395996094
wall_clock_time_millis_testing
54.97550964355469
wall_clock_time_millis_testing
54.682016372680664
wall_clock_time_millis_testing
55.22489547729492
wall_clock_time_millis_testing
55.60111999511719
wall_clock_time_millis_testing
53.67422103881836
wall_clock_time_millis_testing
36.09156608581543
wall_clock_time_millis_testing
36.432743072509766
wall_clock_time_millis_training
515.148401260376
wall_clock_time_millis_training
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wall_clock_time_millis_training
509.03820991516113
wall_clock_time_millis_training
520.9994316101074
wall_clock_time_millis_training
498.35705757141113
wall_clock_time_millis_training
511.45219802856445
wall_clock_time_millis_training
518.1162357330322
wall_clock_time_millis_training
514.6713256835938
wall_clock_time_millis_training
369.27294731140137
wall_clock_time_millis_training
365.11874198913574