10416172
1
Jan van Rijn
9981
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8253915
C
123.37837491865163
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.0005536818771968
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
38159
16360
shrinking
true
16360
tol
0.06297302366537236
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1468
cnae-9
https://www.openml.org/data/download/1586233/phpmcGu2X
-1
21754154
description
https://api.openml.org/data/download/21754154/description.xml
-1
21754155
predictions
https://api.openml.org/data/download/21754155/predictions.arff
area_under_roc_curve
0.9640625 [0.989583,0.970833,0.970833,0.941146,0.983333,0.958854,0.945312,0.986458,0.930208]
average_cost
0
f_measure
0.9365257700680597 [0.975207,0.942149,0.942149,0.90678,0.983051,0.906883,0.938596,0.979079,0.854839]
kappa
0.928125
kb_relative_information_score
0.9326863236061566
mean_absolute_error
0.014197530864197509
mean_prior_absolute_error
0.197530864197526
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.938047572078348 [0.967213,0.934426,0.934426,0.922414,1,0.88189,0.990741,0.983193,0.828125]
predictive_accuracy
0.9361111111111111
prior_entropy
3.1699250014422624
recall
0.9361111111111111 [0.983333,0.95,0.95,0.891667,0.966667,0.933333,0.891667,0.975,0.883333]
relative_absolute_error
0.07187500000000166
root_mean_prior_squared_error
0.3142696805273506
root_mean_squared_error
0.11915339216404
root_relative_squared_error
0.3791437722025819
total_cost
0
area_under_roc_curve
0.96875 [1,1,0.911458,0.942708,1,0.953125,1,0.958333,0.953125]
area_under_roc_curve
0.953125 [1,0.953125,0.947917,0.994792,0.875,0.989583,0.911458,1,0.90625]
area_under_roc_curve
0.96875 [0.994792,0.911458,1,0.916667,1,0.994792,0.958333,0.994792,0.947917]
area_under_roc_curve
0.9479166666666666 [0.994792,0.989583,0.947917,0.864583,1,0.869792,0.916667,1,0.947917]
area_under_roc_curve
0.9739583333333334 [1,1,0.958333,0.994792,1,0.989583,0.958333,0.958333,0.90625]
area_under_roc_curve
0.9739583333333334 [1,0.994792,0.994792,0.953125,1,0.994792,0.916667,1,0.911458]
area_under_roc_curve
0.953125 [0.953125,0.953125,0.989583,0.875,1,0.989583,0.875,1,0.942708]
area_under_roc_curve
0.953125 [0.953125,0.953125,1,0.953125,0.958333,0.901042,1,0.958333,0.901042]
area_under_roc_curve
0.96875 [1,0.958333,1,0.958333,1,0.953125,0.916667,0.994792,0.9375]
area_under_roc_curve
0.9791666666666666 [1,0.994792,0.958333,0.958333,1,0.953125,1,1,0.947917]
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
0.94506379288988 [1,1,0.869565,0.846154,1,0.916667,1,0.956522,0.916667]
f_measure
0.9155316664012317 [1,0.916667,0.88,0.96,0.857143,0.923077,0.869565,1,0.833333]
f_measure
0.9439086517347386 [0.96,0.869565,1,0.909091,1,0.96,0.956522,0.96,0.88]
f_measure
0.9058842606668693 [0.96,0.923077,0.88,0.782609,1,0.818182,0.909091,1,0.88]
f_measure
0.9539972748668402 [1,1,0.956522,0.96,1,0.923077,0.956522,0.956522,0.833333]
f_measure
0.952813643683209 [1,0.96,0.96,0.916667,1,0.96,0.909091,1,0.869565]
f_measure
0.9155474155474155 [0.916667,0.916667,0.923077,0.857143,1,0.923077,0.857143,1,0.846154]
f_measure
0.9181159420289854 [0.916667,0.916667,1,0.916667,0.956522,0.8,1,0.956522,0.8]
f_measure
0.945957318759251 [1,0.956522,1,0.956522,1,0.916667,0.909091,0.96,0.814815]
f_measure
0.9633011272141708 [1,0.96,0.956522,0.956522,1,0.916667,1,1,0.88]
kappa
0.9375
kappa
0.9062500000000001
kappa
0.9375
kappa
0.8958333333333334
kappa
0.9479166666666666
kappa
0.9479166666666666
kappa
0.9062500000000001
kappa
0.9062500000000001
kappa
0.9375
kappa
0.9583333333333334
kb_relative_information_score
0.9414663683531767
kb_relative_information_score
0.9121995525297651
kb_relative_information_score
0.9414663683531767
kb_relative_information_score
0.9024439472552944
kb_relative_information_score
0.9512219736276473
kb_relative_information_score
0.9512219736276473
kb_relative_information_score
0.9121995525297651
kb_relative_information_score
0.912199552529765
kb_relative_information_score
0.9414663683531767
kb_relative_information_score
0.9609775789021178
mean_absolute_error
0.01234567901234568
mean_absolute_error
0.01851851851851852
mean_absolute_error
0.01234567901234568
mean_absolute_error
0.020576131687242802
mean_absolute_error
0.0102880658436214
mean_absolute_error
0.0102880658436214
mean_absolute_error
0.01851851851851852
mean_absolute_error
0.01851851851851852
mean_absolute_error
0.01234567901234568
mean_absolute_error
0.008230452674897118
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
precision
0.9475709475709476 [1,1,0.909091,0.785714,1,0.916667,1,1,0.916667]
precision
0.9206071706071705 [1,0.916667,0.846154,0.923077,1,0.857143,0.909091,1,0.833333]
precision
0.9471639471639471 [0.923077,0.909091,1,1,1,0.923077,1,0.923077,0.846154]
precision
0.9100788100788101 [0.923077,0.857143,0.846154,0.818182,1,0.9,1,1,0.846154]
precision
0.9570614570614572 [1,1,1,0.923077,1,0.857143,1,1,0.833333]
precision
0.954998704998705 [1,0.923077,0.923077,0.916667,1,0.923077,1,1,0.909091]
precision
0.9259259259259259 [0.916667,0.916667,0.857143,1,1,0.857143,1,1,0.785714]
precision
0.9209401709401709 [0.916667,0.916667,1,0.916667,1,0.769231,1,1,0.769231]
precision
0.9525641025641026 [1,1,1,1,1,0.916667,1,0.923077,0.733333]
precision
0.965099715099715 [1,0.923077,1,1,1,0.916667,1,1,0.846154]
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9074074074074074
predictive_accuracy
0.9537037037037037
predictive_accuracy
0.9537037037037037
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.9444444444444444
predictive_accuracy
0.9629629629629629
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
recall
0.9444444444444444 [1,1,0.833333,0.916667,1,0.916667,1,0.916667,0.916667]
recall
0.9166666666666666 [1,0.916667,0.916667,1,0.75,1,0.833333,1,0.833333]
recall
0.9444444444444444 [1,0.833333,1,0.833333,1,1,0.916667,1,0.916667]
recall
0.9074074074074074 [1,1,0.916667,0.75,1,0.75,0.833333,1,0.916667]
recall
0.9537037037037037 [1,1,0.916667,1,1,1,0.916667,0.916667,0.833333]
recall
0.9537037037037037 [1,1,1,0.916667,1,1,0.833333,1,0.833333]
recall
0.9166666666666666 [0.916667,0.916667,1,0.75,1,1,0.75,1,0.916667]
recall
0.9166666666666666 [0.916667,0.916667,1,0.916667,0.916667,0.833333,1,0.916667,0.833333]
recall
0.9444444444444444 [1,0.916667,1,0.916667,1,0.916667,0.833333,1,0.916667]
recall
0.9629629629629629 [1,1,0.916667,0.916667,1,0.916667,1,1,0.916667]
relative_absolute_error
0.06249999999999983
relative_absolute_error
0.09374999999999975
relative_absolute_error
0.06249999999999983
relative_absolute_error
0.1041666666666664
relative_absolute_error
0.05208333333333319
relative_absolute_error
0.05208333333333319
relative_absolute_error
0.09374999999999975
relative_absolute_error
0.09374999999999975
relative_absolute_error
0.06249999999999983
relative_absolute_error
0.041666666666666546
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_squared_error
0.11111111111111112
root_mean_squared_error
0.13608276348795434
root_mean_squared_error
0.11111111111111112
root_mean_squared_error
0.14344382763731175
root_mean_squared_error
0.10143010324169743
root_mean_squared_error
0.10143010324169743
root_mean_squared_error
0.13608276348795434
root_mean_squared_error
0.13608276348795434
root_mean_squared_error
0.11111111111111112
root_mean_squared_error
0.09072184232530289
root_relative_squared_error
0.35355339059327334
root_relative_squared_error
0.43301270189221874
root_relative_squared_error
0.35355339059327334
root_relative_squared_error
0.45643546458763784
root_relative_squared_error
0.322748612183951
root_relative_squared_error
0.322748612183951
root_relative_squared_error
0.43301270189221874
root_relative_squared_error
0.43301270189221874
root_relative_squared_error
0.35355339059327334
root_relative_squared_error
0.28867513459481253
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
765.4226880003989
usercpu_time_millis
746.2791440002547
usercpu_time_millis
761.6954620007164
usercpu_time_millis
743.4934889997749
usercpu_time_millis
746.6219679999995
usercpu_time_millis
749.9941139994917
usercpu_time_millis
747.5302009997904
usercpu_time_millis
757.1002579998094
usercpu_time_millis
767.1260930001154
usercpu_time_millis
762.9704029995992
usercpu_time_millis_testing
68.04163200013136
usercpu_time_millis_testing
67.98400600018795
usercpu_time_millis_testing
69.23872500010475
usercpu_time_millis_testing
66.50352599990583
usercpu_time_millis_testing
68.97829599984107
usercpu_time_millis_testing
67.7353419996507
usercpu_time_millis_testing
68.41547800013359
usercpu_time_millis_testing
69.11863899949822
usercpu_time_millis_testing
68.4206340001765
usercpu_time_millis_testing
69.37328200001502
usercpu_time_millis_training
697.3810560002676
usercpu_time_millis_training
678.2951380000668
usercpu_time_millis_training
692.4567370006116
usercpu_time_millis_training
676.989962999869
usercpu_time_millis_training
677.6436720001584
usercpu_time_millis_training
682.258771999841
usercpu_time_millis_training
679.1147229996568
usercpu_time_millis_training
687.9816190003112
usercpu_time_millis_training
698.7054589999389
usercpu_time_millis_training
693.5971209995841
wall_clock_time_millis
765.4523849487305
wall_clock_time_millis
746.2887763977051
wall_clock_time_millis
761.7156505584717
wall_clock_time_millis
743.5038089752197
wall_clock_time_millis
746.657133102417
wall_clock_time_millis
750.0040531158447
wall_clock_time_millis
747.6050853729248
wall_clock_time_millis
757.1101188659668
wall_clock_time_millis
767.1492099761963
wall_clock_time_millis
762.9811763763428
wall_clock_time_millis_testing
68.04561614990234
wall_clock_time_millis_testing
67.98672676086426
wall_clock_time_millis_testing
69.25082206726074
wall_clock_time_millis_testing
66.50638580322266
wall_clock_time_millis_testing
68.98117065429688
wall_clock_time_millis_testing
67.73829460144043
wall_clock_time_millis_testing
68.41826438903809
wall_clock_time_millis_testing
69.1218376159668
wall_clock_time_millis_testing
68.42374801635742
wall_clock_time_millis_testing
69.37623023986816
wall_clock_time_millis_training
697.4067687988281
wall_clock_time_millis_training
678.3020496368408
wall_clock_time_millis_training
692.4648284912109
wall_clock_time_millis_training
676.9974231719971
wall_clock_time_millis_training
677.6759624481201
wall_clock_time_millis_training
682.2657585144043
wall_clock_time_millis_training
679.1868209838867
wall_clock_time_millis_training
687.98828125
wall_clock_time_millis_training
698.7254619598389
wall_clock_time_millis_training
693.6049461364746