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"}}]
18607
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
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
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
100000.0
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class_weight
null
17462
dual
false
17462
fit_intercept
true
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intercept_scaling
1
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l1_ratio
null
17462
max_iter
724
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multi_class
"auto"
17462
n_jobs
null
17462
penalty
"l2"
17462
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
36669.00600000008
usercpu_time_millis_training
18939.838000000236
usercpu_time_millis_training
13039.268000000448
usercpu_time_millis_training
19852.151999999478
usercpu_time_millis_training
17182.16399999983
usercpu_time_millis_training
17009.77199999943
usercpu_time_millis_training
25184.132000000318
usercpu_time_millis_training
16266.99600000029
usercpu_time_millis_training
16674.29600000105
usercpu_time_millis_training
16560.81600000107
wall_clock_time_millis_training
22178.28416824341
wall_clock_time_millis_training
15242.44999885559
wall_clock_time_millis_training
8647.457122802734
wall_clock_time_millis_training
11198.524236679077
wall_clock_time_millis_training
9703.060150146484
wall_clock_time_millis_training
9605.228900909424
wall_clock_time_millis_training
14228.82103919983
wall_clock_time_millis_training
9161.158084869385
wall_clock_time_millis_training
9702.630043029785
wall_clock_time_millis_training
10137.119054794312
usercpu_time_millis_testing
65.11200000022654
usercpu_time_millis_testing
60.56400000124995
usercpu_time_millis_testing
56.33800000032352
usercpu_time_millis_testing
61.18600000081642
usercpu_time_millis_testing
56.427999999868916
usercpu_time_millis_testing
62.63799999942421
usercpu_time_millis_testing
55.58799999926123
usercpu_time_millis_testing
56.25799999870651
usercpu_time_millis_testing
60.579999999390566
usercpu_time_millis_testing
69.21199999851524
usercpu_time_millis
36734.11800000031
usercpu_time_millis
19000.402000001486
usercpu_time_millis
13095.606000000771
usercpu_time_millis
19913.338000000294
usercpu_time_millis
17238.5919999997
usercpu_time_millis
17072.409999998854
usercpu_time_millis
25239.71999999958
usercpu_time_millis
16323.253999998997
usercpu_time_millis
16734.87600000044
usercpu_time_millis
16630.027999999584
wall_clock_time_millis_testing
52.10614204406738
wall_clock_time_millis_testing
51.299095153808594
wall_clock_time_millis_testing
39.73793983459473
wall_clock_time_millis_testing
58.01105499267578
wall_clock_time_millis_testing
37.267208099365234
wall_clock_time_millis_testing
41.21685028076172
wall_clock_time_millis_testing
40.93003273010254
wall_clock_time_millis_testing
36.52000427246094
wall_clock_time_millis_testing
75.09303092956543
wall_clock_time_millis_testing
59.80181694030762
wall_clock_time_millis
22230.390310287476
wall_clock_time_millis
15293.7490940094
wall_clock_time_millis
8687.19506263733
wall_clock_time_millis
11256.535291671753
wall_clock_time_millis
9740.32735824585
wall_clock_time_millis
9646.445751190186
wall_clock_time_millis
14269.751071929932
wall_clock_time_millis
9197.678089141846
wall_clock_time_millis
9777.72307395935
wall_clock_time_millis
10196.92087173462
predictive_accuracy
0.9483608935306064
predictive_accuracy
0.9509718595880475
predictive_accuracy
0.9445894981143023
predictive_accuracy
0.9509718595880475
predictive_accuracy
0.9474905715114592
predictive_accuracy
0.9489262913522926
predictive_accuracy
0.9483459082994776
predictive_accuracy
0.9538595473012188
predictive_accuracy
0.953279164248404
predictive_accuracy
0.9468949506674406