14954
18298
memory
null
18298
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"}}]
18298
verbose
false
18298
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"most_frequent"
17407
verbose
0
17407
n_jobs
null
18299
remainder
"drop"
18299
sparse_threshold
0.3
18299
transformer_weights
null
18299
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, true, false, false, false, false, false, false, false, false, false, false, false, false, true, false, false, false, true, true, false, true, true, true, true, true, true, true, true, true, true, true, true, true, false, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, true, true, true, true, true, true, true, true, true, true, false, true, true, true, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, true]}}]
18299
verbose
false
18299
memory
null
18300
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
18300
verbose
false
18300
copy
true
17405
with_mean
true
17405
with_std
true
17405
memory
null
18301
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
18301
verbose
false
18301
categorical_features
null
17408
categories
null
17408
drop
null
17408
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17408
handle_unknown
"ignore"
17408
n_values
null
17408
sparse
true
17408
C
126.01836378200282
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.29389563974752275
17495
decision_function_shape
"ovr"
17495
degree
2
17495
gamma
0.1324591300630764
17495
kernel
"rbf"
17495
max_iter
-1
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probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
usercpu_time_millis_training
272.56999999997333
usercpu_time_millis_training
265.95799999995506
usercpu_time_millis_training
274.03400000002875
usercpu_time_millis_training
264.37600000002703
usercpu_time_millis_training
264.7620000000188
usercpu_time_millis_training
269.56599999999753
usercpu_time_millis_training
272.7539999999635
usercpu_time_millis_training
298.02399999999807
usercpu_time_millis_training
281.71199999997043
usercpu_time_millis_training
265.1419999999689
wall_clock_time_millis_training
137.13693618774414
wall_clock_time_millis_training
134.13119316101074
wall_clock_time_millis_training
138.35883140563965
wall_clock_time_millis_training
132.99894332885742
wall_clock_time_millis_training
133.07785987854004
wall_clock_time_millis_training
135.6058120727539
wall_clock_time_millis_training
137.99309730529785
wall_clock_time_millis_training
149.81603622436523
wall_clock_time_millis_training
141.38317108154297
wall_clock_time_millis_training
132.93886184692383
usercpu_time_millis_testing
11.00399999995716
usercpu_time_millis_testing
11.381999999969139
usercpu_time_millis_testing
10.853999999994812
usercpu_time_millis_testing
10.882000000037806
usercpu_time_millis_testing
10.799999999960619
usercpu_time_millis_testing
12.643999999966127
usercpu_time_millis_testing
11.384000000020933
usercpu_time_millis_testing
11.734000000046763
usercpu_time_millis_testing
10.815999999977066
usercpu_time_millis_testing
10.871999999949367
usercpu_time_millis
283.5739999999305
usercpu_time_millis
277.3399999999242
usercpu_time_millis
284.88800000002357
usercpu_time_millis
275.25800000006484
usercpu_time_millis
275.56199999997943
usercpu_time_millis
282.20999999996366
usercpu_time_millis
284.13799999998446
usercpu_time_millis
309.75800000004483
usercpu_time_millis
292.5279999999475
usercpu_time_millis
276.01399999991827
wall_clock_time_millis_testing
5.509853363037109
wall_clock_time_millis_testing
5.7621002197265625
wall_clock_time_millis_testing
5.431890487670898
wall_clock_time_millis_testing
5.450010299682617
wall_clock_time_millis_testing
5.403995513916016
wall_clock_time_millis_testing
6.331920623779297
wall_clock_time_millis_testing
5.715847015380859
wall_clock_time_millis_testing
5.906105041503906
wall_clock_time_millis_testing
5.423069000244141
wall_clock_time_millis_testing
5.443096160888672
wall_clock_time_millis
142.64678955078125
wall_clock_time_millis
139.8932933807373
wall_clock_time_millis
143.79072189331055
wall_clock_time_millis
138.44895362854004
wall_clock_time_millis
138.48185539245605
wall_clock_time_millis
141.9377326965332
wall_clock_time_millis
143.7089443206787
wall_clock_time_millis
155.72214126586914
wall_clock_time_millis
146.8062400817871
wall_clock_time_millis
138.3819580078125
predictive_accuracy
0.8333333333333334
predictive_accuracy
0.7777777777777778
predictive_accuracy
0.8333333333333334
predictive_accuracy
0.7037037037037037
predictive_accuracy
0.8148148148148148
predictive_accuracy
0.7222222222222222
predictive_accuracy
0.7962962962962963
predictive_accuracy
0.8148148148148148
predictive_accuracy
0.8518518518518519
predictive_accuracy
0.7777777777777778