37
16345
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
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
29.368876419451322
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.815004057362626
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.6556132496536988
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
openml-python
Sklearn_0.21.2.
usercpu_time_millis_training
41.55160899999899
usercpu_time_millis_training
37.39217400000072
usercpu_time_millis_training
34.79645199999837
usercpu_time_millis_training
37.4012239999999
usercpu_time_millis_training
37.36915200000013
usercpu_time_millis_training
37.49663800000036
usercpu_time_millis_training
37.705323000000845
usercpu_time_millis_training
39.12367500000258
usercpu_time_millis_training
31.511874999999634
usercpu_time_millis_training
43.91766899999894
wall_clock_time_millis_training
41.595458984375
wall_clock_time_millis_training
37.39666938781738
wall_clock_time_millis_training
34.800052642822266
wall_clock_time_millis_training
37.40549087524414
wall_clock_time_millis_training
37.372589111328125
wall_clock_time_millis_training
37.499427795410156
wall_clock_time_millis_training
37.75167465209961
wall_clock_time_millis_training
39.127349853515625
wall_clock_time_millis_training
31.525135040283203
wall_clock_time_millis_training
43.920040130615234
usercpu_time_millis_testing
2.963254000000859
usercpu_time_millis_testing
2.2345860000001494
usercpu_time_millis_testing
1.8625769999971453
usercpu_time_millis_testing
2.225471999999229
usercpu_time_millis_testing
2.2200859999976785
usercpu_time_millis_testing
2.2041070000007323
usercpu_time_millis_testing
2.131658999999786
usercpu_time_millis_testing
2.215572000000776
usercpu_time_millis_testing
1.7848009999994474
usercpu_time_millis_testing
2.1860840000016424
usercpu_time_millis
44.51486299999985
usercpu_time_millis
39.62676000000087
usercpu_time_millis
36.65902899999551
usercpu_time_millis
39.62669599999913
usercpu_time_millis
39.589237999997806
usercpu_time_millis
39.70074500000109
usercpu_time_millis
39.83698200000063
usercpu_time_millis
41.339247000003354
usercpu_time_millis
33.29667599999908
usercpu_time_millis
46.10375300000058
wall_clock_time_millis_testing
2.9675960540771484
wall_clock_time_millis_testing
2.238750457763672
wall_clock_time_millis_testing
1.8658638000488281
wall_clock_time_millis_testing
2.229928970336914
wall_clock_time_millis_testing
2.222776412963867
wall_clock_time_millis_testing
2.2253990173339844
wall_clock_time_millis_testing
2.135038375854492
wall_clock_time_millis_testing
2.219676971435547
wall_clock_time_millis_testing
1.7879009246826172
wall_clock_time_millis_testing
2.1898746490478516
wall_clock_time_millis
44.56305503845215
wall_clock_time_millis
39.635419845581055
wall_clock_time_millis
36.665916442871094
wall_clock_time_millis
39.635419845581055
wall_clock_time_millis
39.59536552429199
wall_clock_time_millis
39.72482681274414
wall_clock_time_millis
39.8867130279541
wall_clock_time_millis
41.34702682495117
wall_clock_time_millis
33.31303596496582
wall_clock_time_millis
46.109914779663086
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.6233766233766234
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7236842105263158
predictive_accuracy
0.6973684210526315