10328504
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)
8184151
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
20.27191464739306
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.9300826105431621
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.0007702133768493733
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
54969
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
21578694
description
https://api.openml.org/data/download/21578694/description.xml
-1
21578695
predictions
https://api.openml.org/data/download/21578695/predictions.arff
area_under_roc_curve
0.91 [0.9975,0.88,0.975,0.937778,0.895278,0.953333,0.7525,0.965833,0.986667,0.756111]
average_cost
0
f_measure
0.8371502883861001 [0.997494,0.781095,0.955,0.898477,0.816121,0.919598,0.56266,0.898345,0.979899,0.562814]
kappa
0.82
kb_relative_information_score
0.8305872865291771
mean_absolute_error
0.03240000000000019
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8369615524507305 [1,0.777228,0.955,0.912371,0.822335,0.924242,0.575916,0.852018,0.984848,0.565657]
predictive_accuracy
0.838
prior_entropy
3.3219280948872383
recall
0.838 [0.995,0.785,0.955,0.885,0.81,0.915,0.55,0.95,0.975,0.56]
relative_absolute_error
0.17999999999999552
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18000000000000055
root_relative_squared_error
0.5999999999999927
total_cost
0
area_under_roc_curve
0.9027777777777777 [0.975,0.925,0.972222,0.9,0.938889,1,0.672222,0.944444,0.997222,0.702778]
area_under_roc_curve
0.9138888888888889 [1,0.888889,0.972222,0.919444,0.866667,0.941667,0.761111,0.963889,0.975,0.85]
area_under_roc_curve
0.9027777777777777 [1,0.883333,1,0.919444,0.958333,0.944444,0.744444,0.919444,1,0.658333]
area_under_roc_curve
0.9277777777777777 [1,0.866667,0.975,0.988889,0.938889,0.894444,0.838889,0.919444,0.975,0.880556]
area_under_roc_curve
0.8888888888888888 [1,0.813889,0.975,0.916667,0.880556,0.919444,0.725,0.958333,1,0.7]
area_under_roc_curve
0.9138888888888889 [1,0.894444,0.994444,0.919444,0.869444,0.969444,0.816667,0.994444,1,0.680556]
area_under_roc_curve
0.9083333333333333 [1,0.891667,0.925,0.969444,0.891667,0.972222,0.75,0.983333,1,0.7]
area_under_roc_curve
0.9277777777777778 [1,0.886111,0.997222,0.947222,0.844444,0.969444,0.877778,0.991667,0.972222,0.791667]
area_under_roc_curve
0.9111111111111113 [1,0.866667,0.997222,0.997222,0.891667,0.95,0.611111,0.991667,1,0.805556]
area_under_roc_curve
0.9027777777777779 [1,0.883333,0.941667,0.9,0.872222,0.972222,0.727778,0.991667,0.947222,0.791667]
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
0.8219497041362226 [0.974359,0.765957,0.95,0.888889,0.857143,1,0.421053,0.9,0.97561,0.486486]
f_measure
0.8440326534014027 [1,0.8,0.95,0.871795,0.789474,0.878049,0.611111,0.883721,0.974359,0.681818]
f_measure
0.8197990897990897 [1,0.761905,1,0.871795,0.844444,0.9,0.52381,0.871795,1,0.424242]
f_measure
0.8699353685889791 [1,0.789474,0.974359,0.909091,0.857143,0.842105,0.736842,0.871795,0.974359,0.744186]
f_measure
0.797399176315945 [1,0.702703,0.974359,0.85,0.744186,0.871795,0.512821,0.844444,1,0.473684]
f_measure
0.8422140628134934 [1,0.842105,0.952381,0.871795,0.810811,0.926829,0.608696,0.952381,1,0.457143]
f_measure
0.8330023256154864 [1,0.820513,0.918919,0.926829,0.820513,0.95,0.55,0.869565,1,0.473684]
f_measure
0.8677001101249542 [1,0.780488,0.97561,0.923077,0.777778,0.926829,0.727273,0.930233,0.95,0.685714]
f_measure
0.8332140329443968 [1,0.789474,0.97561,0.97561,0.820513,0.947368,0.333333,0.930233,1,0.56]
f_measure
0.8269578813082709 [1,0.761905,0.878049,0.888889,0.833333,0.95,0.526316,0.930233,0.923077,0.577778]
kappa
0.8055555555555555
kappa
0.8277777777777777
kappa
0.8055555555555555
kappa
0.8555555555555555
kappa
0.7777777777777778
kappa
0.8277777777777777
kappa
0.8166666666666667
kappa
0.8555555555555555
kappa
0.8222222222222222
kappa
0.8055555555555555
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8640515262271141
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.8640515262271141
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8169924391518844
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.02600000000000001
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.02600000000000001
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.03500000000000002
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
0.8261085646379763 [1,0.666667,0.95,1,0.818182,1,0.444444,0.9,0.952381,0.529412]
precision
0.8473799989103193 [1,0.8,0.95,0.894737,0.833333,0.857143,0.6875,0.826087,1,0.625]
precision
0.8215207949944792 [1,0.727273,1,0.894737,0.76,0.9,0.5,0.894737,1,0.538462]
precision
0.874190416753346 [1,0.833333,1,0.833333,0.818182,0.888889,0.777778,0.894737,1,0.695652]
precision
0.7991410687844932 [1,0.764706,1,0.85,0.695652,0.894737,0.526316,0.76,1,0.5]
precision
0.8460717266909218 [1,0.888889,0.909091,0.894737,0.882353,0.904762,0.538462,0.909091,1,0.533333]
precision
0.8358203200308464 [1,0.842105,1,0.904762,0.842105,0.95,0.55,0.769231,1,0.5]
precision
0.872764792415822 [1,0.761905,0.952381,0.947368,0.875,0.904762,0.666667,0.869565,0.95,0.8]
precision
0.8416432385311104 [1,0.833333,0.952381,0.952381,0.842105,1,0.5,0.869565,1,0.466667]
precision
0.8364404778415075 [1,0.727273,0.857143,1,0.9375,0.95,0.555556,0.869565,0.947368,0.52]
predictive_accuracy
0.825
predictive_accuracy
0.845
predictive_accuracy
0.825
predictive_accuracy
0.87
predictive_accuracy
0.8
predictive_accuracy
0.845
predictive_accuracy
0.835
predictive_accuracy
0.87
predictive_accuracy
0.84
predictive_accuracy
0.825
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
0.825 [0.95,0.9,0.95,0.8,0.9,1,0.4,0.9,1,0.45]
recall
0.845 [1,0.8,0.95,0.85,0.75,0.9,0.55,0.95,0.95,0.75]
recall
0.825 [1,0.8,1,0.85,0.95,0.9,0.55,0.85,1,0.35]
recall
0.87 [1,0.75,0.95,1,0.9,0.8,0.7,0.85,0.95,0.8]
recall
0.8 [1,0.65,0.95,0.85,0.8,0.85,0.5,0.95,1,0.45]
recall
0.845 [1,0.8,1,0.85,0.75,0.95,0.7,1,1,0.4]
recall
0.835 [1,0.8,0.85,0.95,0.8,0.95,0.55,1,1,0.45]
recall
0.87 [1,0.8,1,0.9,0.7,0.95,0.8,1,0.95,0.6]
recall
0.84 [1,0.75,1,1,0.8,0.9,0.25,1,1,0.7]
recall
0.825 [1,0.8,0.9,0.8,0.75,0.95,0.5,1,0.9,0.65]
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.14444444444444465
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.14444444444444465
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.19444444444444475
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
0.1870828693386971
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.1870828693386971
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5374838498865704
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.5374838498865704
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6236095644623241
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
335.7979729989893
usercpu_time_millis
329.1488919930998
usercpu_time_millis
329.0827739983797
usercpu_time_millis
329.75148500554496
usercpu_time_millis
330.33891300146934
usercpu_time_millis
334.98435700312257
usercpu_time_millis
332.2830520046409
usercpu_time_millis
332.751483998436
usercpu_time_millis
333.10960700327996
usercpu_time_millis
327.428456992493
usercpu_time_millis_testing
37.65016700344859
usercpu_time_millis_testing
37.54618999664672
usercpu_time_millis_testing
38.01259199826745
usercpu_time_millis_testing
37.28072700323537
usercpu_time_millis_testing
37.289697997039184
usercpu_time_millis_testing
38.17741000239039
usercpu_time_millis_testing
38.24462500051595
usercpu_time_millis_testing
37.65956900315359
usercpu_time_millis_testing
37.447618997248355
usercpu_time_millis_testing
37.25230699637905
usercpu_time_millis_training
298.1478059955407
usercpu_time_millis_training
291.6027019964531
usercpu_time_millis_training
291.07018200011225
usercpu_time_millis_training
292.4707580023096
usercpu_time_millis_training
293.04921500443015
usercpu_time_millis_training
296.8069470007322
usercpu_time_millis_training
294.03842700412497
usercpu_time_millis_training
295.0919149952824
usercpu_time_millis_training
295.6619880060316
usercpu_time_millis_training
290.17614999611396
wall_clock_time_millis
602.8022766113281
wall_clock_time_millis
361.189603805542
wall_clock_time_millis
329.12373542785645
wall_clock_time_millis
329.8375606536865
wall_clock_time_millis
346.4202880859375
wall_clock_time_millis
363.04616928100586
wall_clock_time_millis
360.38899421691895
wall_clock_time_millis
496.81639671325684
wall_clock_time_millis
333.1878185272217
wall_clock_time_millis
327.50654220581055
wall_clock_time_millis_testing
85.65592765808105
wall_clock_time_millis_testing
37.55998611450195
wall_clock_time_millis_testing
38.02990913391113
wall_clock_time_millis_testing
37.29653358459473
wall_clock_time_millis_testing
37.30463981628418
wall_clock_time_millis_testing
38.19084167480469
wall_clock_time_millis_testing
66.28060340881348
wall_clock_time_millis_testing
37.674665451049805
wall_clock_time_millis_testing
37.461280822753906
wall_clock_time_millis_testing
37.26696968078613
wall_clock_time_millis_training
517.1463489532471
wall_clock_time_millis_training
323.62961769104004
wall_clock_time_millis_training
291.0938262939453
wall_clock_time_millis_training
292.5410270690918
wall_clock_time_millis_training
309.1156482696533
wall_clock_time_millis_training
324.8553276062012
wall_clock_time_millis_training
294.10839080810547
wall_clock_time_millis_training
459.14173126220703
wall_clock_time_millis_training
295.7265377044678
wall_clock_time_millis_training
290.2395725250244