10327093
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)
8182761
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
2919.7665961619327
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
6.688334308406325
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
4466
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
21575872
description
https://api.openml.org/data/download/21575872/description.xml
-1
21575873
predictions
https://api.openml.org/data/download/21575873/predictions.arff
area_under_roc_curve
0.5366666666666667 [0.550278,0.51,0.579167,0.5275,0.505,0.51,0.51,0.51,0.634444,0.530278]
average_cost
0
f_measure
0.11324242309701613 [0.190931,0.039216,0.255738,0.135048,0.019802,0.039216,0.039216,0.039216,0.234508,0.139535]
kappa
0.07333333333333333
kb_relative_information_score
0.1278382528724017
mean_absolute_error
0.1667999999999948
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6084658600443231 [0.182648,1,0.371429,0.189189,1,1,1,1,0.133472,0.207921]
predictive_accuracy
0.166
prior_entropy
3.3219280948872383
recall
0.166 [0.2,0.02,0.195,0.105,0.01,0.02,0.02,0.02,0.965,0.105]
relative_absolute_error
0.9266666666666094
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.4084115571332364
root_relative_squared_error
1.3613718571107671
total_cost
0
area_under_roc_curve
0.5083333333333333 [0.5,0.525,0.5,0.5,0.5,0.525,0.525,0.5,0.508333,0.5]
area_under_roc_curve
0.5083333333333333 [0.5,0.525,0.5,0.5,0.5,0.5,0.525,0.525,0.508333,0.5]
area_under_roc_curve
0.5583333333333333 [0.5,0.5,0.877778,0.5,0.525,0.525,0.5,0.5,0.655556,0.5]
area_under_roc_curve
0.5638888888888889 [0.772222,0.5,0.5,0.5,0.5,0.525,0.5,0.525,0.791667,0.525]
area_under_roc_curve
0.5472222222222222 [0.730556,0.5,0.5,0.525,0.5,0.525,0.5,0.5,0.691667,0.5]
area_under_roc_curve
0.5027777777777778 [0.5,0.525,0.5,0.5,0.5,0.5,0.5,0.5,0.502778,0.5]
area_under_roc_curve
0.5583333333333333 [0.5,0.525,0.5,0.5,0.5,0.5,0.5,0.525,0.755556,0.777778]
area_under_roc_curve
0.5611111111111111 [0.5,0.5,0.913889,0.5,0.525,0.5,0.525,0.525,0.622222,0.5]
area_under_roc_curve
0.5555555555555556 [0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.5,0.805556,0.5]
area_under_roc_curve
0.5027777777777778 [0.5,0.5,0.5,0.5,0.5,0.5,0.525,0.5,0.502778,0.5]
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
kappa
0.016666666666666666
kappa
0.016666666666666666
kappa
0.11666666666666664
kappa
0.12777777777777777
kappa
0.09444444444444443
kappa
0.005555555555555545
kappa
0.11666666666666664
kappa
0.1222222222222222
kappa
0.11111111111111112
kappa
0.005555555555555545
kb_relative_information_score
0.07450462085380231
kb_relative_information_score
0.07450462085380233
kb_relative_information_score
0.16862279500426391
kb_relative_information_score
0.179080369909871
kb_relative_information_score
0.14770764519305063
kb_relative_information_score
0.06404704594819556
kb_relative_information_score
0.168622795004264
kb_relative_information_score
0.17385158245706747
kb_relative_information_score
0.1633940075514609
kb_relative_information_score
0.06404704594819556
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.15899999999999959
mean_absolute_error
0.1569999999999996
mean_absolute_error
0.16299999999999962
mean_absolute_error
0.17899999999999985
mean_absolute_error
0.15899999999999959
mean_absolute_error
0.15799999999999959
mean_absolute_error
0.1599999999999996
mean_absolute_error
0.17899999999999985
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]
predictive_accuracy
0.115
predictive_accuracy
0.115
predictive_accuracy
0.205
predictive_accuracy
0.215
predictive_accuracy
0.185
predictive_accuracy
0.105
predictive_accuracy
0.205
predictive_accuracy
0.21
predictive_accuracy
0.2
predictive_accuracy
0.105
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
0.115 [0,0.05,0,0,0,0.05,0.05,0,1,0]
recall
0.115 [0,0.05,0,0,0,0,0.05,0.05,1,0]
recall
0.205 [0,0,0.95,0,0.05,0.05,0,0,1,0]
recall
0.215 [1,0,0,0,0,0.05,0,0.05,1,0.05]
recall
0.185 [1,0,0,0.05,0,0.05,0,0,0.75,0]
recall
0.105 [0,0.05,0,0,0,0,0,0,1,0]
recall
0.205 [0,0.05,0,0,0,0,0,0.05,0.95,1]
recall
0.21 [0,0,1,0,0.05,0,0.05,0.05,0.95,0]
recall
0.2 [0,0,0,1,0,0,0,0,1,0]
recall
0.105 [0,0,0,0,0,0,0.05,0,1,0]
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.883333333333332
relative_absolute_error
0.8722222222222211
relative_absolute_error
0.9055555555555544
relative_absolute_error
0.9944444444444447
relative_absolute_error
0.883333333333332
relative_absolute_error
0.8777777777777764
relative_absolute_error
0.8888888888888876
relative_absolute_error
0.9944444444444447
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
0.42071367935925236
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.3987480407475372
root_mean_squared_error
0.3962322551231785
root_mean_squared_error
0.40373258476372653
root_mean_squared_error
0.42308391602612344
root_mean_squared_error
0.3987480407475372
root_mean_squared_error
0.3974921382870353
root_mean_squared_error
0.39999999999999947
root_mean_squared_error
0.42308391602612344
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.329160135825125
root_relative_squared_error
1.3207741837439293
root_relative_squared_error
1.3457752825457558
root_relative_squared_error
1.4102797200870791
root_relative_squared_error
1.329160135825125
root_relative_squared_error
1.3249737942901183
root_relative_squared_error
1.3333333333333324
root_relative_squared_error
1.4102797200870791
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
1101.5800340028363
usercpu_time_millis
1099.1942260079668
usercpu_time_millis
1102.887405999354
usercpu_time_millis
1079.9005340013537
usercpu_time_millis
1088.5676459947717
usercpu_time_millis
1116.2821010002517
usercpu_time_millis
1112.0874140033266
usercpu_time_millis
1191.2697540101362
usercpu_time_millis
1167.3188589993515
usercpu_time_millis
1081.0352839980624
usercpu_time_millis_testing
72.88026800233638
usercpu_time_millis_testing
71.41832200431963
usercpu_time_millis_testing
69.19884600210935
usercpu_time_millis_testing
71.06223799928557
usercpu_time_millis_testing
70.24012699548621
usercpu_time_millis_testing
72.86639499943703
usercpu_time_millis_testing
70.72414499998558
usercpu_time_millis_testing
77.89117200445617
usercpu_time_millis_testing
68.75083799968706
usercpu_time_millis_testing
69.26311599818291
usercpu_time_millis_training
1028.6997660005
usercpu_time_millis_training
1027.7759040036472
usercpu_time_millis_training
1033.6885599972447
usercpu_time_millis_training
1008.8382960020681
usercpu_time_millis_training
1018.3275189992855
usercpu_time_millis_training
1043.4157060008147
usercpu_time_millis_training
1041.363269003341
usercpu_time_millis_training
1113.37858200568
usercpu_time_millis_training
1098.5680209996644
usercpu_time_millis_training
1011.7721679998795
wall_clock_time_millis
1213.670253753662
wall_clock_time_millis
1099.3025302886963
wall_clock_time_millis
1230.9985160827637
wall_clock_time_millis
1228.0488014221191
wall_clock_time_millis
1168.6811447143555
wall_clock_time_millis
1204.866647720337
wall_clock_time_millis
1176.4638423919678
wall_clock_time_millis
1191.3714408874512
wall_clock_time_millis
1167.4368381500244
wall_clock_time_millis
1265.1383876800537
wall_clock_time_millis_testing
152.86898612976074
wall_clock_time_millis_testing
71.43473625183105
wall_clock_time_millis_testing
69.2138671875
wall_clock_time_millis_testing
111.083984375
wall_clock_time_millis_testing
78.25684547424316
wall_clock_time_millis_testing
72.9212760925293
wall_clock_time_millis_testing
70.74117660522461
wall_clock_time_millis_testing
77.90899276733398
wall_clock_time_millis_testing
68.76659393310547
wall_clock_time_millis_testing
109.28106307983398
wall_clock_time_millis_training
1060.8012676239014
wall_clock_time_millis_training
1027.8677940368652
wall_clock_time_millis_training
1161.7846488952637
wall_clock_time_millis_training
1116.9648170471191
wall_clock_time_millis_training
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wall_clock_time_millis_training
1131.9453716278076
wall_clock_time_millis_training
1105.7226657867432
wall_clock_time_millis_training
1113.4624481201172
wall_clock_time_millis_training
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wall_clock_time_millis_training
1155.8573246002197