2079
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, true, true, true, true, false, true, true, true, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, true, false, false, false, false, true, false, false, false, false, false, false, false, false, false]}}]
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
49.7233002061335
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.46757379405725374
17495
decision_function_shape
"ovr"
17495
degree
1
17495
gamma
0.003603475971010618
17495
kernel
"rbf"
17495
max_iter
-1
17495
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
167.05600000000055
usercpu_time_millis_training
184.9400000000001
usercpu_time_millis_training
166.01
usercpu_time_millis_training
181.39200000000068
usercpu_time_millis_training
170.1560000000004
usercpu_time_millis_training
190.11400000000035
usercpu_time_millis_training
192.56399999999996
usercpu_time_millis_training
204.6000000000001
usercpu_time_millis_training
188.79799999999935
usercpu_time_millis_training
190.52200000000053
wall_clock_time_millis_training
84.06996726989746
wall_clock_time_millis_training
93.66488456726074
wall_clock_time_millis_training
83.50491523742676
wall_clock_time_millis_training
90.9738540649414
wall_clock_time_millis_training
86.37380599975586
wall_clock_time_millis_training
109.36594009399414
wall_clock_time_millis_training
100.24094581604004
wall_clock_time_millis_training
106.57286643981934
wall_clock_time_millis_training
99.11608695983887
wall_clock_time_millis_training
101.26805305480957
usercpu_time_millis_testing
7.103999999999999
usercpu_time_millis_testing
7.6019999999994425
usercpu_time_millis_testing
7.163999999999504
usercpu_time_millis_testing
7.355999999999696
usercpu_time_millis_testing
7.716000000000278
usercpu_time_millis_testing
7.810000000000095
usercpu_time_millis_testing
10.796000000000028
usercpu_time_millis_testing
7.305999999999813
usercpu_time_millis_testing
7.678000000000296
usercpu_time_millis_testing
9.999999999999787
usercpu_time_millis
174.16000000000054
usercpu_time_millis
192.54199999999955
usercpu_time_millis
173.1739999999995
usercpu_time_millis
188.7480000000004
usercpu_time_millis
177.8720000000007
usercpu_time_millis
197.92400000000043
usercpu_time_millis
203.35999999999999
usercpu_time_millis
211.90599999999992
usercpu_time_millis
196.47599999999966
usercpu_time_millis
200.52200000000033
wall_clock_time_millis_testing
3.5598278045654297
wall_clock_time_millis_testing
3.8080215454101562
wall_clock_time_millis_testing
3.626108169555664
wall_clock_time_millis_testing
3.6809444427490234
wall_clock_time_millis_testing
3.8809776306152344
wall_clock_time_millis_testing
3.957033157348633
wall_clock_time_millis_testing
5.515098571777344
wall_clock_time_millis_testing
3.6649703979492188
wall_clock_time_millis_testing
3.9539337158203125
wall_clock_time_millis_testing
5.7048797607421875
wall_clock_time_millis
87.62979507446289
wall_clock_time_millis
97.4729061126709
wall_clock_time_millis
87.13102340698242
wall_clock_time_millis
94.65479850769043
wall_clock_time_millis
90.2547836303711
wall_clock_time_millis
113.32297325134277
wall_clock_time_millis
105.75604438781738
wall_clock_time_millis
110.23783683776855
wall_clock_time_millis
103.07002067565918
wall_clock_time_millis
106.97293281555176
predictive_accuracy
0.6216216216216216
predictive_accuracy
0.7702702702702703
predictive_accuracy
0.6486486486486487
predictive_accuracy
0.7027027027027027
predictive_accuracy
0.6621621621621622
predictive_accuracy
0.6621621621621622
predictive_accuracy
0.684931506849315
predictive_accuracy
0.6438356164383562
predictive_accuracy
0.684931506849315
predictive_accuracy
0.6438356164383562