9977
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memory
null
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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
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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
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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
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drop
null
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
null
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sparse
true
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C
1.0229391816
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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
309
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multi_class
"warn"
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n_jobs
null
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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
9040.11200000241
usercpu_time_millis_training
9082.838000002084
usercpu_time_millis_training
9399.821999999403
usercpu_time_millis_training
9427.009999999427
usercpu_time_millis_training
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usercpu_time_millis_training
9230.198000004748
usercpu_time_millis_training
9273.763999997755
usercpu_time_millis_training
9193.240000000515
usercpu_time_millis_training
9068.8300000038
usercpu_time_millis_training
9078.745999999228
wall_clock_time_millis_training
4621.164083480835
wall_clock_time_millis_training
4641.762971878052
wall_clock_time_millis_training
4786.129951477051
wall_clock_time_millis_training
4816.517114639282
wall_clock_time_millis_training
4905.769824981689
wall_clock_time_millis_training
4711.771011352539
wall_clock_time_millis_training
4727.7960777282715
wall_clock_time_millis_training
4715.922832489014
wall_clock_time_millis_training
4620.00584602356
wall_clock_time_millis_training
4638.531923294067
usercpu_time_millis_testing
31.321999995270744
usercpu_time_millis_testing
31.080000000656582
usercpu_time_millis_testing
31.188000000838656
usercpu_time_millis_testing
42.47400000167545
usercpu_time_millis_testing
37.6819999946747
usercpu_time_millis_testing
31.236000002536457
usercpu_time_millis_testing
29.823999997461215
usercpu_time_millis_testing
36.52000000147382
usercpu_time_millis_testing
30.262000000220723
usercpu_time_millis_testing
31.87400000024354
usercpu_time_millis
9071.43399999768
usercpu_time_millis
9113.91800000274
usercpu_time_millis
9431.010000000242
usercpu_time_millis
9469.484000001103
usercpu_time_millis
9493.697999998403
usercpu_time_millis
9261.434000007284
usercpu_time_millis
9303.587999995216
usercpu_time_millis
9229.760000001988
usercpu_time_millis
9099.09200000402
usercpu_time_millis
9110.619999999471
wall_clock_time_millis_testing
23.231983184814453
wall_clock_time_millis_testing
23.49114418029785
wall_clock_time_millis_testing
22.24111557006836
wall_clock_time_millis_testing
63.4768009185791
wall_clock_time_millis_testing
25.377988815307617
wall_clock_time_millis_testing
21.915912628173828
wall_clock_time_millis_testing
21.079063415527344
wall_clock_time_millis_testing
25.027036666870117
wall_clock_time_millis_testing
21.1789608001709
wall_clock_time_millis_testing
22.77398109436035
wall_clock_time_millis
4644.396066665649
wall_clock_time_millis
4665.25411605835
wall_clock_time_millis
4808.371067047119
wall_clock_time_millis
4879.993915557861
wall_clock_time_millis
4931.147813796997
wall_clock_time_millis
4733.686923980713
wall_clock_time_millis
4748.875141143799
wall_clock_time_millis
4740.949869155884
wall_clock_time_millis
4641.1848068237305
wall_clock_time_millis
4661.305904388428
predictive_accuracy
0.9489411082100377
predictive_accuracy
0.9503916449086162
predictive_accuracy
0.9440092834348709
predictive_accuracy
0.9518421816071947
predictive_accuracy
0.9472004641717435
predictive_accuracy
0.9483459082994776
predictive_accuracy
0.9480557167730702
predictive_accuracy
0.953279164248404
predictive_accuracy
0.9524085896691816
predictive_accuracy
0.9480557167730702