14954
18607
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"}}]
18607
verbose
false
18607
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, false, false, false, false, false, false, false, false, false, true, false, false, false, true, true, false, true, true, true, true, true, true, true, true, true, true, true, true, true, false, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, true, true, true, true, true, true, true, true, true, true, false, true, true, true, false, false, true, false, false, false, false, false, false, false, false, false, false, false, false, false, true, false, true]}}]
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
0.1
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class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
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l1_ratio
null
17462
max_iter
10000
17462
multi_class
"warn"
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n_jobs
null
17462
penalty
"l2"
17462
random_state
1
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solver
"lbfgs"
17462
tol
0.0001
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verbose
0
17462
warm_start
false
17462
openml-python
Sklearn_0.21.2.
usercpu_time_millis_training
43.089999999210704
usercpu_time_millis_training
42.090000002644956
usercpu_time_millis_training
42.46199999761302
usercpu_time_millis_training
41.603999998187646
usercpu_time_millis_training
41.90599999856204
usercpu_time_millis_training
55.00200000096811
usercpu_time_millis_training
44.10400000051595
usercpu_time_millis_training
40.6379999985802
usercpu_time_millis_training
42.097999998077285
usercpu_time_millis_training
41.94800000550458
wall_clock_time_millis_training
21.622180938720703
wall_clock_time_millis_training
21.25096321105957
wall_clock_time_millis_training
21.40498161315918
wall_clock_time_millis_training
20.991086959838867
wall_clock_time_millis_training
21.068096160888672
wall_clock_time_millis_training
27.53305435180664
wall_clock_time_millis_training
22.223949432373047
wall_clock_time_millis_training
20.42388916015625
wall_clock_time_millis_training
21.155118942260742
wall_clock_time_millis_training
21.064043045043945
usercpu_time_millis_testing
5.297999996400904
usercpu_time_millis_testing
5.854000002727844
usercpu_time_millis_testing
5.384000003687106
usercpu_time_millis_testing
5.319999996572733
usercpu_time_millis_testing
5.2900000009685755
usercpu_time_millis_testing
5.5159999974421225
usercpu_time_millis_testing
5.2800000048591755
usercpu_time_millis_testing
5.499999999301508
usercpu_time_millis_testing
5.65199999982724
usercpu_time_millis_testing
5.604000005405396
usercpu_time_millis
48.38799999561161
usercpu_time_millis
47.9440000053728
usercpu_time_millis
47.846000001300126
usercpu_time_millis
46.92399999476038
usercpu_time_millis
47.19599999953061
usercpu_time_millis
60.51799999841023
usercpu_time_millis
49.38400000537513
usercpu_time_millis
46.13799999788171
usercpu_time_millis
47.749999997904524
usercpu_time_millis
47.55200001090998
wall_clock_time_millis_testing
2.6531219482421875
wall_clock_time_millis_testing
2.9518604278564453
wall_clock_time_millis_testing
2.711057662963867
wall_clock_time_millis_testing
2.663850784301758
wall_clock_time_millis_testing
2.6497840881347656
wall_clock_time_millis_testing
2.763032913208008
wall_clock_time_millis_testing
2.6428699493408203
wall_clock_time_millis_testing
2.790212631225586
wall_clock_time_millis_testing
2.8562545776367188
wall_clock_time_millis_testing
2.8078556060791016
wall_clock_time_millis
24.27530288696289
wall_clock_time_millis
24.202823638916016
wall_clock_time_millis
24.116039276123047
wall_clock_time_millis
23.654937744140625
wall_clock_time_millis
23.717880249023438
wall_clock_time_millis
30.29608726501465
wall_clock_time_millis
24.866819381713867
wall_clock_time_millis
23.214101791381836
wall_clock_time_millis
24.01137351989746
wall_clock_time_millis
23.871898651123047
predictive_accuracy
0.8148148148148148
predictive_accuracy
0.7777777777777778
predictive_accuracy
0.7592592592592593
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.7407407407407407
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.9259259259259259
predictive_accuracy
0.6851851851851852
predictive_accuracy
0.7777777777777778
predictive_accuracy
0.6481481481481481