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
0.001
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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
10000
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multi_class
"warn"
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n_jobs
null
17462
penalty
"l2"
17462
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
1440.733999999793
usercpu_time_millis_training
1345.6200000000536
usercpu_time_millis_training
1368.5179999993125
usercpu_time_millis_training
1309.2519999991055
usercpu_time_millis_training
1568.4939999991911
usercpu_time_millis_training
1418.998000001011
usercpu_time_millis_training
1311.5280000019993
usercpu_time_millis_training
1331.2460000015562
usercpu_time_millis_training
1303.6660000034317
usercpu_time_millis_training
1343.6040000015055
wall_clock_time_millis_training
582.8218460083008
wall_clock_time_millis_training
546.0269451141357
wall_clock_time_millis_training
550.9068965911865
wall_clock_time_millis_training
533.6611270904541
wall_clock_time_millis_training
612.4472618103027
wall_clock_time_millis_training
570.1079368591309
wall_clock_time_millis_training
537.0540618896484
wall_clock_time_millis_training
540.7438278198242
wall_clock_time_millis_training
537.222146987915
wall_clock_time_millis_training
545.2480316162109
usercpu_time_millis_testing
77.14800000030664
usercpu_time_millis_testing
75.18599999821163
usercpu_time_millis_testing
76.06800000212388
usercpu_time_millis_testing
72.31600000159233
usercpu_time_millis_testing
88.52599999954691
usercpu_time_millis_testing
82.6100000012957
usercpu_time_millis_testing
77.33999999982188
usercpu_time_millis_testing
77.32600000235834
usercpu_time_millis_testing
73.60999999946216
usercpu_time_millis_testing
73.75999999931082
usercpu_time_millis
1517.8820000000997
usercpu_time_millis
1420.8059999982652
usercpu_time_millis
1444.5860000014363
usercpu_time_millis
1381.5680000006978
usercpu_time_millis
1657.019999998738
usercpu_time_millis
1501.6080000023067
usercpu_time_millis
1388.8680000018212
usercpu_time_millis
1408.5720000039146
usercpu_time_millis
1377.2760000028939
usercpu_time_millis
1417.3640000008163
wall_clock_time_millis_testing
23.8649845123291
wall_clock_time_millis_testing
23.483991622924805
wall_clock_time_millis_testing
24.564027786254883
wall_clock_time_millis_testing
23.30803871154785
wall_clock_time_millis_testing
30.651092529296875
wall_clock_time_millis_testing
25.94470977783203
wall_clock_time_millis_testing
23.818016052246094
wall_clock_time_millis_testing
23.99921417236328
wall_clock_time_millis_testing
22.4001407623291
wall_clock_time_millis_testing
22.48692512512207
wall_clock_time_millis
606.6868305206299
wall_clock_time_millis
569.5109367370605
wall_clock_time_millis
575.4709243774414
wall_clock_time_millis
556.969165802002
wall_clock_time_millis
643.0983543395996
wall_clock_time_millis
596.0526466369629
wall_clock_time_millis
560.8720779418945
wall_clock_time_millis
564.7430419921875
wall_clock_time_millis
559.6222877502441
wall_clock_time_millis
567.734956741333
predictive_accuracy
0.9335654192051059
predictive_accuracy
0.9405279953582826
predictive_accuracy
0.9326950971859588
predictive_accuracy
0.9373368146214099
predictive_accuracy
0.9324049898462431
predictive_accuracy
0.9358676726639582
predictive_accuracy
0.9318049912942542
predictive_accuracy
0.943122460824144
predictive_accuracy
0.9352872896111434
predictive_accuracy
0.9347069065583284