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
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
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n_jobs
null
18299
remainder
"drop"
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sparse_threshold
0.3
18299
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
17408
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17408
handle_unknown
"ignore"
17408
n_values
null
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sparse
true
17408
C
0.1
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class_weight
null
17462
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
10000
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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
"lbfgs"
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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
5051.573999997345
usercpu_time_millis_training
5298.743999999715
usercpu_time_millis_training
4938.74599999981
usercpu_time_millis_training
5009.73000000522
usercpu_time_millis_training
4819.964000002074
usercpu_time_millis_training
5148.68800000113
usercpu_time_millis_training
5076.946000001044
usercpu_time_millis_training
5015.3859999991255
usercpu_time_millis_training
5180.7540000008885
usercpu_time_millis_training
4771.396000003733
wall_clock_time_millis_training
1528.9888381958008
wall_clock_time_millis_training
1571.7267990112305
wall_clock_time_millis_training
1495.6159591674805
wall_clock_time_millis_training
1512.5219821929932
wall_clock_time_millis_training
1457.0298194885254
wall_clock_time_millis_training
1551.7821311950684
wall_clock_time_millis_training
1609.879970550537
wall_clock_time_millis_training
1509.7548961639404
wall_clock_time_millis_training
1540.9350395202637
wall_clock_time_millis_training
1462.1682167053223
usercpu_time_millis_testing
76.5079999982845
usercpu_time_millis_testing
82.20799999980954
usercpu_time_millis_testing
74.01199999731034
usercpu_time_millis_testing
80.95599999796832
usercpu_time_millis_testing
74.80200000281911
usercpu_time_millis_testing
85.41600000171456
usercpu_time_millis_testing
76.52000000234693
usercpu_time_millis_testing
84.99999999912689
usercpu_time_millis_testing
81.98399999673711
usercpu_time_millis_testing
76.42200000555022
usercpu_time_millis
5128.081999995629
usercpu_time_millis
5380.951999999525
usercpu_time_millis
5012.75799999712
usercpu_time_millis
5090.686000003188
usercpu_time_millis
4894.766000004893
usercpu_time_millis
5234.104000002844
usercpu_time_millis
5153.466000003391
usercpu_time_millis
5100.385999998252
usercpu_time_millis
5262.737999997626
usercpu_time_millis
4847.818000009283
wall_clock_time_millis_testing
25.057077407836914
wall_clock_time_millis_testing
26.165008544921875
wall_clock_time_millis_testing
27.017831802368164
wall_clock_time_millis_testing
25.515079498291016
wall_clock_time_millis_testing
23.042917251586914
wall_clock_time_millis_testing
27.445077896118164
wall_clock_time_millis_testing
23.450851440429688
wall_clock_time_millis_testing
25.85315704345703
wall_clock_time_millis_testing
26.755094528198242
wall_clock_time_millis_testing
23.590087890625
wall_clock_time_millis
1554.0459156036377
wall_clock_time_millis
1597.8918075561523
wall_clock_time_millis
1522.6337909698486
wall_clock_time_millis
1538.0370616912842
wall_clock_time_millis
1480.0727367401123
wall_clock_time_millis
1579.2272090911865
wall_clock_time_millis
1633.3308219909668
wall_clock_time_millis
1535.6080532073975
wall_clock_time_millis
1567.690134048462
wall_clock_time_millis
1485.7583045959473
predictive_accuracy
0.9483608935306064
predictive_accuracy
0.9483608935306064
predictive_accuracy
0.9442993907745866
predictive_accuracy
0.9509718595880475
predictive_accuracy
0.9463301421525965
predictive_accuracy
0.946604759141033
predictive_accuracy
0.947185142193848
predictive_accuracy
0.9515380150899594
predictive_accuracy
0.9500870574579222
predictive_accuracy
0.948636099825885