14952
18608
memory
null
18608
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
18608
verbose
false
18608
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"most_frequent"
17407
verbose
0
17407
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
15.0
17462
class_weight
null
17462
dual
true
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
100
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
openml-python
Sklearn_0.21.2.
usercpu_time_millis_training
559.1420000127982
usercpu_time_millis_training
552.2859999909997
usercpu_time_millis_training
550.4100000107428
usercpu_time_millis_training
551.6460000071675
usercpu_time_millis_training
556.5039999928558
usercpu_time_millis_training
553.7719999992987
usercpu_time_millis_training
554.9000000028173
usercpu_time_millis_training
553.090000001248
usercpu_time_millis_training
551.7800000088755
usercpu_time_millis_training
549.4820000021718
wall_clock_time_millis_training
281.4769744873047
wall_clock_time_millis_training
277.8952121734619
wall_clock_time_millis_training
278.5518169403076
wall_clock_time_millis_training
278.40113639831543
wall_clock_time_millis_training
281.8479537963867
wall_clock_time_millis_training
280.47990798950195
wall_clock_time_millis_training
280.3981304168701
wall_clock_time_millis_training
279.57820892333984
wall_clock_time_millis_training
278.0947685241699
wall_clock_time_millis_training
276.32808685302734
usercpu_time_millis_testing
9.25200000347104
usercpu_time_millis_testing
9.342000004835427
usercpu_time_millis_testing
9.737999993376434
usercpu_time_millis_testing
9.444000010262243
usercpu_time_millis_testing
9.439999994356185
usercpu_time_millis_testing
9.561999992001802
usercpu_time_millis_testing
9.447999997064471
usercpu_time_millis_testing
9.405999997397885
usercpu_time_millis_testing
9.449999997741543
usercpu_time_millis_testing
9.747999996761791
usercpu_time_millis
568.3940000162693
usercpu_time_millis
561.6279999958351
usercpu_time_millis
560.1480000041192
usercpu_time_millis
561.0900000174297
usercpu_time_millis
565.943999987212
usercpu_time_millis
563.3339999913005
usercpu_time_millis
564.3479999998817
usercpu_time_millis
562.4959999986459
usercpu_time_millis
561.230000006617
usercpu_time_millis
559.2299999989336
wall_clock_time_millis_testing
4.657983779907227
wall_clock_time_millis_testing
4.731893539428711
wall_clock_time_millis_testing
4.938840866088867
wall_clock_time_millis_testing
4.762172698974609
wall_clock_time_millis_testing
4.783868789672852
wall_clock_time_millis_testing
4.855155944824219
wall_clock_time_millis_testing
4.763126373291016
wall_clock_time_millis_testing
4.743099212646484
wall_clock_time_millis_testing
4.76384162902832
wall_clock_time_millis_testing
4.966020584106445
wall_clock_time_millis
286.1349582672119
wall_clock_time_millis
282.6271057128906
wall_clock_time_millis
283.4906578063965
wall_clock_time_millis
283.16330909729004
wall_clock_time_millis
286.63182258605957
wall_clock_time_millis
285.3350639343262
wall_clock_time_millis
285.16125679016113
wall_clock_time_millis
284.3213081359863
wall_clock_time_millis
282.85861015319824
wall_clock_time_millis
281.2941074371338
predictive_accuracy
0.9349005424954792
predictive_accuracy
0.9385171790235082
predictive_accuracy
0.9349005424954792
predictive_accuracy
0.9430379746835443
predictive_accuracy
0.930379746835443
predictive_accuracy
0.9429864253393665
predictive_accuracy
0.9411764705882353
predictive_accuracy
0.9447963800904977
predictive_accuracy
0.9248868778280543
predictive_accuracy
0.9276018099547512