9977
16374
memory
null
16374
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16374
verbose
false
16374
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
n_jobs
null
16375
remainder
"drop"
16375
sparse_threshold
0.3
16375
transformer_weights
null
16375
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, true, true, true, false, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true, true, false, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, false, false, false, true, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false, false, true, false, false]}}]
16375
verbose
false
16375
memory
null
16376
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
16376
verbose
false
16376
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
16377
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
16377
verbose
false
16377
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
16348
n_values
null
16348
sparse
true
16348
C
121.50079094809186
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.8128651336375083
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.24381380713362347
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
714756.5064150112
usercpu_time_millis_training
742456.9312379899
usercpu_time_millis_training
756570.4562000028
usercpu_time_millis_training
691279.0463389974
usercpu_time_millis_training
736977.2098579997
usercpu_time_millis_training
860016.6328600026
usercpu_time_millis_training
963332.3396779888
usercpu_time_millis_training
750849.2134249973
usercpu_time_millis_training
730855.5947470013
usercpu_time_millis_training
833429.2102819891
wall_clock_time_millis_training
714765.6633853912
wall_clock_time_millis_training
742471.3704586029
wall_clock_time_millis_training
756573.02069664
wall_clock_time_millis_training
691279.5560359955
wall_clock_time_millis_training
737100.222826004
wall_clock_time_millis_training
860606.0886383057
wall_clock_time_millis_training
963331.775188446
wall_clock_time_millis_training
750849.1053581238
wall_clock_time_millis_training
731274.0561962128
wall_clock_time_millis_training
833434.4165325165
usercpu_time_millis_testing
14839.188696001656
usercpu_time_millis_testing
21171.981339008198
usercpu_time_millis_testing
21127.24658100342
usercpu_time_millis_testing
14893.215967997094
usercpu_time_millis_testing
21327.041431999533
usercpu_time_millis_testing
21082.530054001836
usercpu_time_millis_testing
15007.77165099862
usercpu_time_millis_testing
21108.602207998047
usercpu_time_millis_testing
14919.03888998786
usercpu_time_millis_testing
21092.498962010723
usercpu_time_millis
729595.6951110129
usercpu_time_millis
763628.9125769981
usercpu_time_millis
777697.7027810062
usercpu_time_millis
706172.2623069945
usercpu_time_millis
758304.2512899992
usercpu_time_millis
881099.1629140044
usercpu_time_millis
978340.1113289874
usercpu_time_millis
771957.8156329953
usercpu_time_millis
745774.6336369892
usercpu_time_millis
854521.7092439998
wall_clock_time_millis_testing
14839.197397232056
wall_clock_time_millis_testing
21172.330141067505
wall_clock_time_millis_testing
21127.25019454956
wall_clock_time_millis_testing
14893.219232559204
wall_clock_time_millis_testing
21327.27813720703
wall_clock_time_millis_testing
21082.55124092102
wall_clock_time_millis_testing
15007.762908935547
wall_clock_time_millis_testing
21108.608961105347
wall_clock_time_millis_testing
14919.05665397644
wall_clock_time_millis_testing
21092.523336410522
wall_clock_time_millis
729604.8607826233
wall_clock_time_millis
763643.7005996704
wall_clock_time_millis
777700.2708911896
wall_clock_time_millis
706172.7752685547
wall_clock_time_millis
758427.5009632111
wall_clock_time_millis
881688.6398792267
wall_clock_time_millis
978339.5380973816
wall_clock_time_millis
771957.7143192291
wall_clock_time_millis
746193.1128501892
wall_clock_time_millis
854526.939868927
predictive_accuracy
0.9074557586306934
predictive_accuracy
0.9187699448796055
predictive_accuracy
0.9123875834058601
predictive_accuracy
0.9149985494633014
predictive_accuracy
0.9248621990136351
predictive_accuracy
0.9213580963435868
predictive_accuracy
0.9143934997098084
predictive_accuracy
0.9233894370284388
predictive_accuracy
0.9216482878699942
predictive_accuracy
0.9129425420777714