10327441
8323
Heinrich Peters
16
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8183108
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
17111.743992628886
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6238038855537555
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.00044751064678453964
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
47119
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.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
21576568
description
https://api.openml.org/data/download/21576568/description.xml
-1
21576569
predictions
https://api.openml.org/data/download/21576569/predictions.arff
area_under_roc_curve
0.9780555555555555 [0.994722,0.972222,0.986944,0.977222,0.985833,0.965,0.986389,0.976944,0.966111,0.969167]
average_cost
0
f_measure
0.9605815413073867 [0.992481,0.931707,0.982368,0.955224,0.972569,0.944444,0.977444,0.952854,0.954082,0.942643]
kappa
0.9561111111111111
kb_relative_information_score
0.9586925791228548
mean_absolute_error
0.007899999999999989
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9609041481686295 [0.994975,0.909524,0.989848,0.950495,0.970149,0.954082,0.979899,0.945813,0.973958,0.940299]
predictive_accuracy
0.9605
prior_entropy
3.3219280948872383
recall
0.9605 [0.99,0.955,0.975,0.96,0.975,0.935,0.975,0.96,0.935,0.945]
relative_absolute_error
0.04388888888888747
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.08888194417315583
root_relative_squared_error
0.29627314724384823
total_cost
0
area_under_roc_curve
0.975 [0.972222,0.963889,1,0.994444,1,0.975,0.975,0.975,0.897222,0.997222]
area_under_roc_curve
0.9805555555555557 [1,0.972222,1,0.95,0.975,0.969444,0.994444,0.972222,1,0.972222]
area_under_roc_curve
0.9805555555555556 [1,0.95,0.997222,0.991667,1,0.947222,1,0.95,0.975,0.994444]
area_under_roc_curve
0.9861111111111112 [1,0.997222,1,0.972222,0.975,0.972222,1,1,0.997222,0.947222]
area_under_roc_curve
0.9583333333333335 [1,0.963889,0.95,0.947222,0.994444,0.944444,0.975,0.941667,0.919444,0.947222]
area_under_roc_curve
0.9777777777777777 [1,0.944444,0.997222,1,0.95,0.975,0.997222,0.969444,1,0.944444]
area_under_roc_curve
0.9722222222222221 [0.975,0.963889,0.975,0.944444,0.997222,0.922222,1,0.994444,0.975,0.975]
area_under_roc_curve
0.9777777777777779 [1,0.997222,0.95,1,0.991667,0.972222,0.975,0.997222,0.925,0.969444]
area_under_roc_curve
0.9833333333333332 [1,0.972222,1,0.972222,1,0.972222,1,0.994444,0.975,0.947222]
area_under_roc_curve
0.9888888888888888 [1,0.997222,1,1,0.975,1,0.947222,0.975,0.997222,0.997222]
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
0.9549653426652859 [0.95,0.883721,1,0.952381,1,0.974359,0.974359,0.974359,0.864865,0.97561]
f_measure
0.9650937616085241 [1,0.95,1,0.947368,0.974359,0.926829,0.952381,0.95,1,0.95]
f_measure
0.9650396006159209 [1,0.947368,0.97561,0.930233,1,0.923077,1,0.947368,0.974359,0.952381]
f_measure
0.9748655409631019 [1,0.97561,1,0.95,0.974359,0.95,1,1,0.97561,0.923077]
f_measure
0.9253826776461639 [1,0.883721,0.947368,0.923077,0.952381,0.9,0.974359,0.878049,0.871795,0.923077]
f_measure
0.959977617589941 [1,0.9,0.97561,1,0.947368,0.974359,0.97561,0.926829,1,0.9]
f_measure
0.9503884378252231 [0.974359,0.883721,0.974359,0.9,0.97561,0.894737,1,0.952381,0.974359,0.974359]
f_measure
0.9598927652957865 [1,0.97561,0.947368,1,0.930233,0.95,0.974359,0.97561,0.918919,0.926829]
f_measure
0.9699816849816848 [1,0.95,1,0.95,1,0.95,1,0.952381,0.974359,0.923077]
f_measure
0.9798624140087553 [1,0.97561,1,1,0.974359,1,0.923077,0.974359,0.97561,0.97561]
kappa
0.95
kappa
0.961111111111111
kappa
0.961111111111111
kappa
0.9722222222222222
kappa
0.9166666666666667
kappa
0.9555555555555555
kappa
0.9444444444444444
kappa
0.9555555555555555
kappa
0.9666666666666667
kappa
0.9777777777777777
kb_relative_information_score
0.9529409129247703
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9215681882079505
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9477121254719669
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9790848501887868
mean_absolute_error
0.009
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.005
mean_absolute_error
0.015000000000000003
mean_absolute_error
0.008
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.008
mean_absolute_error
0.006
mean_absolute_error
0.004
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
0.9578735288581836 [0.95,0.826087,1,0.909091,1,1,1,1,0.941176,0.952381]
precision
0.9663852813852815 [1,0.95,1,1,1,0.904762,0.909091,0.95,1,0.95]
precision
0.9678405499915798 [1,1,0.952381,0.869565,1,0.947368,1,1,1,0.909091]
precision
0.9752130325814535 [1,0.952381,1,0.95,1,0.95,1,1,0.952381,0.947368]
precision
0.9281794406966032 [1,0.826087,1,0.947368,0.909091,0.9,1,0.857143,0.894737,0.947368]
precision
0.960952380952381 [1,0.9,0.952381,1,1,1,0.952381,0.904762,1,0.9]
precision
0.9532003262438045 [1,0.826087,1,0.9,0.952381,0.944444,1,0.909091,1,1]
precision
0.9629089026915113 [1,0.952381,1,1,0.869565,0.95,1,0.952381,1,0.904762]
precision
0.9706459330143541 [1,0.95,1,0.95,1,0.95,1,0.909091,1,0.947368]
precision
0.9804511278195488 [1,0.952381,1,1,1,1,0.947368,1,0.952381,0.952381]
predictive_accuracy
0.955
predictive_accuracy
0.965
predictive_accuracy
0.965
predictive_accuracy
0.975
predictive_accuracy
0.925
predictive_accuracy
0.96
predictive_accuracy
0.95
predictive_accuracy
0.96
predictive_accuracy
0.97
predictive_accuracy
0.98
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
0.955 [0.95,0.95,1,1,1,0.95,0.95,0.95,0.8,1]
recall
0.965 [1,0.95,1,0.9,0.95,0.95,1,0.95,1,0.95]
recall
0.965 [1,0.9,1,1,1,0.9,1,0.9,0.95,1]
recall
0.975 [1,1,1,0.95,0.95,0.95,1,1,1,0.9]
recall
0.925 [1,0.95,0.9,0.9,1,0.9,0.95,0.9,0.85,0.9]
recall
0.96 [1,0.9,1,1,0.9,0.95,1,0.95,1,0.9]
recall
0.95 [0.95,0.95,0.95,0.9,1,0.85,1,1,0.95,0.95]
recall
0.96 [1,1,0.9,1,1,0.95,0.95,1,0.85,0.95]
recall
0.97 [1,0.95,1,0.95,1,0.95,1,1,0.95,0.9]
recall
0.98 [1,1,1,1,0.95,1,0.9,0.95,1,1]
relative_absolute_error
0.05000000000000005
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.08333333333333344
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.055555555555555615
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.02222222222222225
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
0.09486832980505137
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.12247448713915891
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.09999999999999999
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.06324555320336758
root_relative_squared_error
0.31622776601683816
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.40824829046386335
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.3333333333333335
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.21081851067789206
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
189.91852800536435
usercpu_time_millis
185.932395994314
usercpu_time_millis
186.90492399036884
usercpu_time_millis
190.01733599725412
usercpu_time_millis
191.6343000048073
usercpu_time_millis
189.14463301189244
usercpu_time_millis
190.90468600188615
usercpu_time_millis
183.9620519967866
usercpu_time_millis
187.83876700035762
usercpu_time_millis
188.02964998758398
usercpu_time_millis_testing
17.759771006240044
usercpu_time_millis_testing
18.247948995849583
usercpu_time_millis_testing
18.01523699396057
usercpu_time_millis_testing
18.150153999158647
usercpu_time_millis_testing
18.19824500125833
usercpu_time_millis_testing
18.274655005370732
usercpu_time_millis_testing
17.864358000224456
usercpu_time_millis_testing
17.579979001311585
usercpu_time_millis_testing
19.948287001170684
usercpu_time_millis_testing
17.760856993845664
usercpu_time_millis_training
172.1587569991243
usercpu_time_millis_training
167.6844469984644
usercpu_time_millis_training
168.88968699640827
usercpu_time_millis_training
171.86718199809548
usercpu_time_millis_training
173.43605500354897
usercpu_time_millis_training
170.8699780065217
usercpu_time_millis_training
173.0403280016617
usercpu_time_millis_training
166.38207299547503
usercpu_time_millis_training
167.89047999918694
usercpu_time_millis_training
170.26879299373832
wall_clock_time_millis
309.9398612976074
wall_clock_time_millis
187.35289573669434
wall_clock_time_millis
230.942964553833
wall_clock_time_millis
190.04583358764648
wall_clock_time_millis
191.73622131347656
wall_clock_time_millis
189.20421600341797
wall_clock_time_millis
190.9787654876709
wall_clock_time_millis
184.0202808380127
wall_clock_time_millis
187.87145614624023
wall_clock_time_millis
260.06364822387695
wall_clock_time_millis_testing
17.772674560546875
wall_clock_time_millis_testing
18.2950496673584
wall_clock_time_millis_testing
18.027544021606445
wall_clock_time_millis_testing
18.161535263061523
wall_clock_time_millis_testing
18.210887908935547
wall_clock_time_millis_testing
18.287181854248047
wall_clock_time_millis_testing
17.877817153930664
wall_clock_time_millis_testing
17.5933837890625
wall_clock_time_millis_testing
19.962549209594727
wall_clock_time_millis_testing
17.774581909179688
wall_clock_time_millis_training
292.16718673706055
wall_clock_time_millis_training
169.05784606933594
wall_clock_time_millis_training
212.91542053222656
wall_clock_time_millis_training
171.88429832458496
wall_clock_time_millis_training
173.52533340454102
wall_clock_time_millis_training
170.91703414916992
wall_clock_time_millis_training
173.10094833374023
wall_clock_time_millis_training
166.4268970489502
wall_clock_time_millis_training
167.9089069366455
wall_clock_time_millis_training
242.28906631469727