10326858
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)
8182528
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
29.39864396838416
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.15746518290620926
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.013790382282982875
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
9464
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
21575402
description
https://api.openml.org/data/download/21575402/description.xml
-1
21575403
predictions
https://api.openml.org/data/download/21575403/predictions.arff
area_under_roc_curve
0.9133333333333333 [0.9975,0.894722,0.978333,0.955,0.916944,0.971944,0.734167,0.957778,0.988889,0.738056]
average_cost
0
f_measure
0.8439193022897336 [0.997494,0.81203,0.964824,0.915423,0.868895,0.947631,0.523929,0.902913,0.98,0.526055]
kappa
0.8266666666666667
kb_relative_information_score
0.8368618314725405
mean_absolute_error
0.031200000000000172
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8441556696562023 [1,0.81407,0.969697,0.910891,0.89418,0.945274,0.527919,0.877358,0.98,0.522167]
predictive_accuracy
0.8440000000000001
prior_entropy
3.3219280948872383
recall
0.844 [0.995,0.81,0.96,0.92,0.845,0.95,0.52,0.93,0.98,0.53]
relative_absolute_error
0.17333333333332895
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17663521732655743
root_relative_squared_error
0.5887840577551824
total_cost
0
area_under_roc_curve
0.9166666666666665 [0.975,0.930556,0.997222,0.95,0.941667,0.975,0.727778,0.894444,0.997222,0.777778]
area_under_roc_curve
0.9027777777777777 [1,0.891667,0.975,0.941667,0.891667,0.947222,0.697222,0.963889,0.975,0.744444]
area_under_roc_curve
0.9166666666666667 [1,0.936111,1,0.922222,0.963889,0.972222,0.747222,0.922222,1,0.702778]
area_under_roc_curve
0.95 [1,0.919444,0.975,0.991667,0.997222,0.975,0.883333,0.947222,0.975,0.836111]
area_under_roc_curve
0.8888888888888888 [1,0.833333,0.95,0.916667,0.897222,0.966667,0.647222,0.963889,1,0.713889]
area_under_roc_curve
0.9194444444444443 [1,0.919444,0.972222,0.919444,0.894444,0.994444,0.772222,0.994444,1,0.727778]
area_under_roc_curve
0.913888888888889 [1,0.866667,0.95,0.966667,0.894444,0.969444,0.8,0.988889,0.997222,0.705556]
area_under_roc_curve
0.9277777777777777 [1,0.897222,0.997222,0.994444,0.894444,0.975,0.777778,0.966667,0.997222,0.777778]
area_under_roc_curve
0.9194444444444443 [1,0.894444,1,0.997222,0.947222,0.975,0.608333,0.994444,1,0.777778]
area_under_roc_curve
0.8777777777777779 [1,0.858333,0.966667,0.95,0.847222,0.969444,0.680556,0.941667,0.947222,0.616667]
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
0.8493775715085086 [0.974359,0.8,0.97561,0.947368,0.878049,0.974359,0.526316,0.842105,0.97561,0.6]
f_measure
0.8259938208888862 [1,0.820513,0.974359,0.878049,0.820513,0.923077,0.461538,0.883721,0.974359,0.52381]
f_measure
0.8483475769108811 [1,0.837209,1,0.894737,0.883721,0.95,0.536585,0.894737,1,0.486486]
f_measure
0.9103644512039293 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.761905,0.923077,0.974359,0.717949]
f_measure
0.7994210778360105 [1,0.7,0.947368,0.85,0.864865,0.904762,0.378378,0.883721,1,0.465116]
f_measure
0.8538201272411798 [1,0.871795,0.95,0.871795,0.842105,0.952381,0.571429,0.952381,1,0.526316]
f_measure
0.8414286825711729 [1,0.789474,0.947368,0.904762,0.842105,0.926829,0.619048,0.909091,0.97561,0.5]
f_measure
0.8689691471719712 [1,0.864865,0.97561,0.952381,0.842105,0.974359,0.6,0.904762,0.97561,0.6]
f_measure
0.8510112514233596 [1,0.842105,1,0.97561,0.923077,0.974359,0.322581,0.952381,1,0.52]
f_measure
0.7827582088429328 [1,0.731707,0.904762,0.947368,0.8,0.926829,0.4,0.878049,0.923077,0.315789]
kappa
0.8333333333333333
kappa
0.8055555555555555
kappa
0.8333333333333333
kappa
0.9
kappa
0.7777777777777778
kappa
0.8388888888888889
kappa
0.8277777777777777
kappa
0.8555555555555555
kappa
0.8388888888888889
kappa
0.7555555555555555
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.9058818258495406
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8640515262271141
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.7699333520766547
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.018000000000000006
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.031000000000000014
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
0.8526349206349205 [1,0.72,0.952381,1,0.857143,1,0.555556,0.888889,0.952381,0.6]
precision
0.8288492971559333 [1,0.842105,1,0.857143,0.842105,0.947368,0.473684,0.826087,1,0.5]
precision
0.850080582957821 [1,0.782609,1,0.944444,0.826087,0.95,0.52381,0.944444,1,0.529412]
precision
0.9128166265466037 [1,0.894737,1,0.869565,0.952381,1,0.727273,0.947368,1,0.736842]
precision
0.8027447105324343 [1,0.7,1,0.85,0.941176,0.863636,0.411765,0.826087,1,0.434783]
precision
0.8547554492291334 [1,0.894737,0.95,0.894737,0.888889,0.909091,0.545455,0.909091,1,0.555556]
precision
0.8429743867243866 [1,0.833333,1,0.863636,0.888889,0.904762,0.590909,0.833333,0.952381,0.5625]
precision
0.8707554536966302 [1,0.941176,0.952381,0.909091,0.888889,1,0.6,0.863636,0.952381,0.6]
precision
0.8585607959292169 [1,0.888889,1,0.952381,0.947368,1,0.454545,0.909091,1,0.433333]
precision
0.7913861927546137 [1,0.714286,0.863636,1,0.933333,0.904762,0.36,0.857143,0.947368,0.333333]
predictive_accuracy
0.85
predictive_accuracy
0.825
predictive_accuracy
0.85
predictive_accuracy
0.91
predictive_accuracy
0.8
predictive_accuracy
0.855
predictive_accuracy
0.845
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
0.85 [0.95,0.9,1,0.9,0.9,0.95,0.5,0.8,1,0.6]
recall
0.825 [1,0.8,0.95,0.9,0.8,0.9,0.45,0.95,0.95,0.55]
recall
0.85 [1,0.9,1,0.85,0.95,0.95,0.55,0.85,1,0.45]
recall
0.91 [1,0.85,0.95,1,1,0.95,0.8,0.9,0.95,0.7]
recall
0.8 [1,0.7,0.9,0.85,0.8,0.95,0.35,0.95,1,0.5]
recall
0.855 [1,0.85,0.95,0.85,0.8,1,0.6,1,1,0.5]
recall
0.845 [1,0.75,0.9,0.95,0.8,0.95,0.65,1,1,0.45]
recall
0.87 [1,0.8,1,1,0.8,0.95,0.6,0.95,1,0.6]
recall
0.855 [1,0.8,1,1,0.9,0.95,0.25,1,1,0.65]
recall
0.78 [1,0.75,0.95,0.9,0.7,0.95,0.45,0.9,0.9,0.3]
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.10000000000000014
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.1722222222222225
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
0.17320508075688776
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.1341640786499874
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.20976176963403032
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.44721359549995826
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.5868938953886341
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
653.7755760000437
usercpu_time_millis
665.2064200025052
usercpu_time_millis
649.2975069995737
usercpu_time_millis
702.4839130026521
usercpu_time_millis
653.6425759913982
usercpu_time_millis
663.5903999995207
usercpu_time_millis
649.5720379971317
usercpu_time_millis
652.3299959953874
usercpu_time_millis
643.5954560001846
usercpu_time_millis
649.2567890018108
usercpu_time_millis_testing
49.95223299920326
usercpu_time_millis_testing
49.56783400120912
usercpu_time_millis_testing
48.87198399956105
usercpu_time_millis_testing
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usercpu_time_millis_testing
49.74815999594284
usercpu_time_millis_testing
49.4265279994579
usercpu_time_millis_testing
49.017145996913314
usercpu_time_millis_testing
48.29281099955551
usercpu_time_millis_testing
48.18197400163626
usercpu_time_millis_testing
48.62357200181577
usercpu_time_millis_training
603.8233430008404
usercpu_time_millis_training
615.6385860012961
usercpu_time_millis_training
600.4255230000126
usercpu_time_millis_training
627.3244350013556
usercpu_time_millis_training
603.8944159954553
usercpu_time_millis_training
614.1638720000628
usercpu_time_millis_training
600.5548920002184
usercpu_time_millis_training
604.0371849958319
usercpu_time_millis_training
595.4134819985484
usercpu_time_millis_training
600.633216999995
wall_clock_time_millis
749.8490810394287
wall_clock_time_millis
745.2731132507324
wall_clock_time_millis
865.4248714447021
wall_clock_time_millis
758.636474609375
wall_clock_time_millis
733.7067127227783
wall_clock_time_millis
664.7462844848633
wall_clock_time_millis
681.6480159759521
wall_clock_time_millis
652.3926258087158
wall_clock_time_millis
643.6817646026611
wall_clock_time_millis
697.3202228546143
wall_clock_time_millis_testing
49.965858459472656
wall_clock_time_millis_testing
49.58486557006836
wall_clock_time_millis_testing
48.8886833190918
wall_clock_time_millis_testing
91.18080139160156
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
49.442291259765625
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
48.639774322509766
wall_clock_time_millis_training
699.883222579956
wall_clock_time_millis_training
695.6882476806641
wall_clock_time_millis_training
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wall_clock_time_millis_training
667.4556732177734
wall_clock_time_millis_training
683.9442253112793
wall_clock_time_millis_training
615.3039932250977
wall_clock_time_millis_training
632.6138973236084
wall_clock_time_millis_training
604.0849685668945
wall_clock_time_millis_training
595.4861640930176
wall_clock_time_millis_training
648.6804485321045