9977
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memory
null
18607
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": "logisticregression", "step_name": "logisticregression"}}]
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verbose
false
18607
add_indicator
false
17407
copy
true
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fill_value
null
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missing_values
NaN
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strategy
"most_frequent"
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verbose
0
17407
n_jobs
null
18299
remainder
"drop"
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sparse_threshold
0.3
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transformer_weights
null
18299
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]}}]
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
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categories
null
17408
drop
null
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
17408
n_values
null
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sparse
true
17408
C
224.662208931
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class_weight
null
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dual
true
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fit_intercept
true
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intercept_scaling
1
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l1_ratio
null
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max_iter
785
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multi_class
"warn"
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n_jobs
null
17462
penalty
"l2"
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random_state
1
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solver
"liblinear"
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tol
0.0001
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verbose
0
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warm_start
false
17462
openml-python
Sklearn_0.21.2.
usercpu_time_millis_training
41982.09999999381
usercpu_time_millis_training
42932.53399999958
usercpu_time_millis_training
42715.73800000624
usercpu_time_millis_training
42880.998000000545
usercpu_time_millis_training
44167.80799999833
usercpu_time_millis_training
44088.212000002386
usercpu_time_millis_training
40232.18999999517
usercpu_time_millis_training
40291.39600000053
usercpu_time_millis_training
40510.28799999767
usercpu_time_millis_training
42328.52200000343
wall_clock_time_millis_training
28269.706964492798
wall_clock_time_millis_training
29700.65474510193
wall_clock_time_millis_training
29372.97010421753
wall_clock_time_millis_training
29443.897008895874
wall_clock_time_millis_training
30362.509965896606
wall_clock_time_millis_training
30338.37604522705
wall_clock_time_millis_training
29033.519744873047
wall_clock_time_millis_training
25391.184091567993
wall_clock_time_millis_training
25368.632078170776
wall_clock_time_millis_training
27088.391065597534
usercpu_time_millis_testing
56.554000002506655
usercpu_time_millis_testing
51.824000001943205
usercpu_time_millis_testing
55.675999996310566
usercpu_time_millis_testing
52.26200000470271
usercpu_time_millis_testing
64.52400000125635
usercpu_time_millis_testing
65.3840000013588
usercpu_time_millis_testing
51.65799999667797
usercpu_time_millis_testing
47.48200000176439
usercpu_time_millis_testing
52.3959999991348
usercpu_time_millis_testing
47.74800000450341
usercpu_time_millis
42038.65399999631
usercpu_time_millis
42984.35800000152
usercpu_time_millis
42771.41400000255
usercpu_time_millis
42933.26000000525
usercpu_time_millis
44232.33199999959
usercpu_time_millis
44153.596000003745
usercpu_time_millis
40283.84799999185
usercpu_time_millis
40338.878000002296
usercpu_time_millis
40562.68399999681
usercpu_time_millis
42376.270000007935
wall_clock_time_millis_testing
54.82125282287598
wall_clock_time_millis_testing
46.38481140136719
wall_clock_time_millis_testing
51.90920829772949
wall_clock_time_millis_testing
44.20781135559082
wall_clock_time_millis_testing
53.182125091552734
wall_clock_time_millis_testing
49.05295372009277
wall_clock_time_millis_testing
46.24509811401367
wall_clock_time_millis_testing
35.95900535583496
wall_clock_time_millis_testing
47.40786552429199
wall_clock_time_millis_testing
43.808937072753906
wall_clock_time_millis
28324.528217315674
wall_clock_time_millis
29747.039556503296
wall_clock_time_millis
29424.87931251526
wall_clock_time_millis
29488.104820251465
wall_clock_time_millis
30415.69209098816
wall_clock_time_millis
30387.428998947144
wall_clock_time_millis
29079.76484298706
wall_clock_time_millis
25427.143096923828
wall_clock_time_millis
25416.03994369507
wall_clock_time_millis
27132.200002670288
predictive_accuracy
0.934435741224253
predictive_accuracy
0.9483608935306064
predictive_accuracy
0.941978532056861
predictive_accuracy
0.9483608935306064
predictive_accuracy
0.9480707861908906
predictive_accuracy
0.9483459082994776
predictive_accuracy
0.9442832269297736
predictive_accuracy
0.9535693557748114
predictive_accuracy
0.9497968659315148
predictive_accuracy
0.9402205455600696