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
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with_mean
true
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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
0.165918932915
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class_weight
null
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dual
false
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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
57
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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.
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3072.6980000035837
usercpu_time_millis_training
3105.434000004607
usercpu_time_millis_training
3035.72400000121
usercpu_time_millis_training
3063.3039999956964
usercpu_time_millis_training
3137.876000000688
usercpu_time_millis_training
3128.9560000004712
usercpu_time_millis_training
3090.5819999970845
usercpu_time_millis_training
3028.9639999973588
usercpu_time_millis_training
3618.2880000051227
usercpu_time_millis_training
3098.7440000026254
wall_clock_time_millis_training
1614.9609088897705
wall_clock_time_millis_training
1627.5150775909424
wall_clock_time_millis_training
1586.0841274261475
wall_clock_time_millis_training
1599.6949672698975
wall_clock_time_millis_training
1637.2361183166504
wall_clock_time_millis_training
1640.30122756958
wall_clock_time_millis_training
1612.1931076049805
wall_clock_time_millis_training
1582.6911926269531
wall_clock_time_millis_training
1885.8671188354492
wall_clock_time_millis_training
1621.201992034912
usercpu_time_millis_testing
33.26799999922514
usercpu_time_millis_testing
32.82800000306452
usercpu_time_millis_testing
33.94200000184355
usercpu_time_millis_testing
35.16400000080466
usercpu_time_millis_testing
31.863999996858183
usercpu_time_millis_testing
36.85599999880651
usercpu_time_millis_testing
31.135999997786712
usercpu_time_millis_testing
32.86200000002282
usercpu_time_millis_testing
33.83400000166148
usercpu_time_millis_testing
32.284000000800006
usercpu_time_millis
3105.966000002809
usercpu_time_millis
3138.2620000076713
usercpu_time_millis
3069.6660000030533
usercpu_time_millis
3098.467999996501
usercpu_time_millis
3169.739999997546
usercpu_time_millis
3165.8119999992778
usercpu_time_millis
3121.717999994871
usercpu_time_millis
3061.8259999973816
usercpu_time_millis
3652.122000006784
usercpu_time_millis
3131.0280000034254
wall_clock_time_millis_testing
24.183988571166992
wall_clock_time_millis_testing
23.669004440307617
wall_clock_time_millis_testing
23.65279197692871
wall_clock_time_millis_testing
24.695158004760742
wall_clock_time_millis_testing
22.16196060180664
wall_clock_time_millis_testing
25.99191665649414
wall_clock_time_millis_testing
21.7130184173584
wall_clock_time_millis_testing
23.1630802154541
wall_clock_time_millis_testing
23.518085479736328
wall_clock_time_millis_testing
22.500991821289062
wall_clock_time_millis
1639.1448974609375
wall_clock_time_millis
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wall_clock_time_millis
1609.7369194030762
wall_clock_time_millis
1624.3901252746582
wall_clock_time_millis
1659.398078918457
wall_clock_time_millis
1666.2931442260742
wall_clock_time_millis
1633.9061260223389
wall_clock_time_millis
1605.8542728424072
wall_clock_time_millis
1909.3852043151855
wall_clock_time_millis
1643.7029838562012
predictive_accuracy
0.9486510008703221
predictive_accuracy
0.9486510008703221
predictive_accuracy
0.944879605454018
predictive_accuracy
0.9512619669277633
predictive_accuracy
0.9466202494923122
predictive_accuracy
0.947185142193848
predictive_accuracy
0.9468949506674406
predictive_accuracy
0.952698781195589
predictive_accuracy
0.951247823563552
predictive_accuracy
0.9492164828787