10372813
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)
8228156
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
100000.0
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.00241115807647
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
50428
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
21667331
description
https://api.openml.org/data/download/21667331/description.xml
-1
21667332
predictions
https://api.openml.org/data/download/21667332/predictions.arff
area_under_roc_curve
0.9119444444444446 [0.9975,0.883889,0.968056,0.941667,0.902222,0.951944,0.779444,0.938333,0.986389,0.77]
average_cost
0
f_measure
0.8420873754815087 [0.997494,0.779412,0.951899,0.895,0.820896,0.926209,0.59901,0.885572,0.977444,0.58794]
kappa
0.8238888888888889
kb_relative_information_score
0.8342474377461392
mean_absolute_error
0.03170000000000018
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8428496467651477 [1,0.764423,0.964103,0.895,0.816832,0.943005,0.593137,0.881188,0.979899,0.590909]
predictive_accuracy
0.8415
prior_entropy
3.3219280948872383
recall
0.8415 [0.995,0.795,0.94,0.895,0.825,0.91,0.605,0.89,0.975,0.585]
relative_absolute_error
0.1761111111111067
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17804493814764907
root_relative_squared_error
0.5934831271588211
total_cost
0
area_under_roc_curve
0.9166666666666665 [0.975,0.902778,0.997222,0.922222,0.936111,0.975,0.827778,0.872222,0.997222,0.761111]
area_under_roc_curve
0.9 [1,0.830556,0.947222,0.891667,0.886111,0.944444,0.777778,0.944444,0.975,0.802778]
area_under_roc_curve
0.9083333333333334 [1,0.933333,0.975,0.919444,0.936111,0.944444,0.747222,0.922222,1,0.705556]
area_under_roc_curve
0.9444444444444445 [1,0.894444,0.975,0.986111,0.994444,0.925,0.886111,0.947222,0.975,0.861111]
area_under_roc_curve
0.8833333333333333 [1,0.852778,0.925,0.941667,0.863889,0.891667,0.630556,0.938889,1,0.788889]
area_under_roc_curve
0.9222222222222222 [1,0.886111,0.947222,0.869444,0.891667,0.997222,0.875,0.969444,1,0.786111]
area_under_roc_curve
0.9166666666666664 [1,0.894444,0.95,0.966667,0.861111,0.944444,0.830556,0.963889,0.997222,0.758333]
area_under_roc_curve
0.9111111111111111 [1,0.863889,0.997222,0.972222,0.861111,0.947222,0.802778,0.916667,0.972222,0.777778]
area_under_roc_curve
0.9222222222222222 [1,0.869444,0.997222,0.997222,0.925,0.975,0.683333,0.988889,1,0.786111]
area_under_roc_curve
0.8944444444444446 [1,0.911111,0.969444,0.95,0.866667,0.975,0.733333,0.919444,0.947222,0.672222]
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
0.8498550272010581 [0.974359,0.755556,0.97561,0.894737,0.837209,0.974359,0.666667,0.833333,0.97561,0.611111]
f_measure
0.8215509693558474 [1,0.682927,0.923077,0.820513,0.780488,0.9,0.6,0.9,0.974359,0.634146]
f_measure
0.8332867174620168 [1,0.818182,0.974359,0.871795,0.837209,0.9,0.536585,0.894737,1,0.5]
f_measure
0.9004576700019575 [1,0.842105,0.974359,0.888889,0.952381,0.918919,0.780488,0.923077,0.974359,0.75]
f_measure
0.7870382319838534 [1,0.697674,0.918919,0.878049,0.769231,0.820513,0.363636,0.857143,1,0.565217]
f_measure
0.8597087143428607 [1,0.780488,0.923077,0.810811,0.820513,0.97561,0.711111,0.926829,1,0.648649]
f_measure
0.8481087699165438 [1,0.842105,0.947368,0.904762,0.75,0.9,0.682927,0.883721,0.97561,0.594595]
f_measure
0.8402063789868669 [1,0.769231,0.97561,0.95,0.75,0.923077,0.634146,0.85,0.95,0.6]
f_measure
0.8588178850030553 [1,0.810811,0.97561,0.97561,0.918919,0.974359,0.470588,0.909091,1,0.553191]
f_measure
0.8141739453454584 [1,0.809524,0.926829,0.947368,0.789474,0.974359,0.478261,0.871795,0.923077,0.421053]
kappa
0.8333333333333333
kappa
0.7999999999999999
kappa
0.8166666666666667
kappa
0.888888888888889
kappa
0.7666666666666667
kappa
0.8444444444444444
kappa
0.8333333333333333
kappa
0.8222222222222222
kappa
0.8444444444444444
kappa
0.788888888888889
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.895424250943934
kb_relative_information_score
0.7803909269822613
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.8013060767934745
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.020000000000000004
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.03800000000000002
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
0.8573178681222159 [1,0.68,0.952381,0.944444,0.782609,1,0.636364,0.9375,0.952381,0.6875]
precision
0.8237092731829573 [1,0.666667,0.947368,0.842105,0.761905,0.9,0.6,0.9,1,0.619048]
precision
0.8358099506011406 [1,0.75,1,0.894737,0.782609,0.9,0.52381,0.944444,1,0.5625]
precision
0.9057252980937192 [1,0.888889,1,0.8,0.909091,1,0.761905,0.947368,1,0.75]
precision
0.7920615997275036 [1,0.652174,1,0.857143,0.789474,0.842105,0.461538,0.818182,1,0.5]
precision
0.8636756597375793 [1,0.761905,0.947368,0.882353,0.842105,0.952381,0.64,0.904762,1,0.705882]
precision
0.849471865162402 [1,0.888889,1,0.863636,0.75,0.9,0.666667,0.826087,0.952381,0.647059]
precision
0.8408270676691728 [1,0.789474,0.952381,0.95,0.75,0.947368,0.619048,0.85,0.95,0.6]
precision
0.867335823218176 [1,0.882353,0.952381,0.952381,1,1,0.571429,0.833333,1,0.481481]
precision
0.8220449141501773 [1,0.772727,0.904762,1,0.833333,1,0.423077,0.894737,0.947368,0.444444]
predictive_accuracy
0.85
predictive_accuracy
0.82
predictive_accuracy
0.835
predictive_accuracy
0.9
predictive_accuracy
0.79
predictive_accuracy
0.86
predictive_accuracy
0.85
predictive_accuracy
0.84
predictive_accuracy
0.86
predictive_accuracy
0.81
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 [0.95,0.85,1,0.85,0.9,0.95,0.7,0.75,1,0.55]
recall
0.82 [1,0.7,0.9,0.8,0.8,0.9,0.6,0.9,0.95,0.65]
recall
0.835 [1,0.9,0.95,0.85,0.9,0.9,0.55,0.85,1,0.45]
recall
0.9 [1,0.8,0.95,1,1,0.85,0.8,0.9,0.95,0.75]
recall
0.79 [1,0.75,0.85,0.9,0.75,0.8,0.3,0.9,1,0.65]
recall
0.86 [1,0.8,0.9,0.75,0.8,1,0.8,0.95,1,0.6]
recall
0.85 [1,0.8,0.9,0.95,0.75,0.9,0.7,0.95,1,0.55]
recall
0.84 [1,0.75,1,0.95,0.75,0.9,0.65,0.85,0.95,0.6]
recall
0.86 [1,0.75,1,1,0.85,0.95,0.4,1,1,0.65]
recall
0.81 [1,0.85,0.95,0.9,0.75,0.95,0.55,0.85,0.9,0.4]
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.11111111111111127
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.21111111111111147
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
0.1897366596101028
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.14142135623730953
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.19493588689617933
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.47140452079103207
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.6497862896539316
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
440.0487130005786
usercpu_time_millis
427.8116389978095
usercpu_time_millis
428.8580670036026
usercpu_time_millis
435.0979279988678
usercpu_time_millis
430.17827400399256
usercpu_time_millis
432.04964899632614
usercpu_time_millis
430.2249659995141
usercpu_time_millis
434.2544760038436
usercpu_time_millis
430.69454400028917
usercpu_time_millis
425.7344159996137
usercpu_time_millis_testing
46.5184880013112
usercpu_time_millis_testing
46.46309899908374
usercpu_time_millis_testing
45.73172200252884
usercpu_time_millis_testing
46.11323499921127
usercpu_time_millis_testing
46.068162002484314
usercpu_time_millis_testing
45.48004399839556
usercpu_time_millis_testing
46.2122079989058
usercpu_time_millis_testing
46.10974700335646
usercpu_time_millis_testing
46.54613499951665
usercpu_time_millis_testing
45.58621199976187
usercpu_time_millis_training
393.5302249992674
usercpu_time_millis_training
381.34853999872576
usercpu_time_millis_training
383.1263450010738
usercpu_time_millis_training
388.98469299965654
usercpu_time_millis_training
384.11011200150824
usercpu_time_millis_training
386.5696049979306
usercpu_time_millis_training
384.0127580006083
usercpu_time_millis_training
388.14472900048713
usercpu_time_millis_training
384.1484090007725
usercpu_time_millis_training
380.14820399985183
wall_clock_time_millis
440.0646686553955
wall_clock_time_millis
427.83117294311523
wall_clock_time_millis
429.0964603424072
wall_clock_time_millis
435.11509895324707
wall_clock_time_millis
430.203914642334
wall_clock_time_millis
432.0704936981201
wall_clock_time_millis
430.24539947509766
wall_clock_time_millis
434.27324295043945
wall_clock_time_millis
430.9213161468506
wall_clock_time_millis
425.7769584655762
wall_clock_time_millis_testing
46.52595520019531
wall_clock_time_millis_testing
46.47207260131836
wall_clock_time_millis_testing
45.743465423583984
wall_clock_time_millis_testing
46.12374305725098
wall_clock_time_millis_testing
46.07582092285156
wall_clock_time_millis_testing
45.49002647399902
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
46.11921310424805
wall_clock_time_millis_testing
46.5548038482666
wall_clock_time_millis_testing
45.59636116027832
wall_clock_time_millis_training
393.5387134552002
wall_clock_time_millis_training
381.3591003417969
wall_clock_time_millis_training
383.35299491882324
wall_clock_time_millis_training
388.9913558959961
wall_clock_time_millis_training
384.1280937194824
wall_clock_time_millis_training
386.5804672241211
wall_clock_time_millis_training
384.0219974517822
wall_clock_time_millis_training
388.1540298461914
wall_clock_time_millis_training
384.366512298584
wall_clock_time_millis_training
380.18059730529785