10101
15882
memory
null
15882
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "n1", "step_name": "n1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]
15882
verbose
false
15882
n_jobs
null
15883
remainder
"drop"
15883
sparse_threshold
0.3
15883
transformer_weights
null
15883
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [0]}}]
15883
verbose
false
15883
accept_sparse
false
15884
check_inverse
true
15884
func
{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
15884
inv_kw_args
null
15884
inverse_func
null
15884
kw_args
null
15884
pass_y
"deprecated"
15884
validate
false
15884
C
0.001
15420
class_weight
"balanced"
15420
dual
false
15420
fit_intercept
true
15420
intercept_scaling
1
15420
l1_ratio
null
15420
max_iter
10000
15420
multi_class
"auto"
15420
n_jobs
null
15420
penalty
"l2"
15420
random_state
19314
15420
solver
"lbfgs"
15420
tol
0.0001
15420
verbose
0
15420
warm_start
false
15420
openml-python
Sklearn_0.21.0.
usercpu_time_millis_training
4.206338000000365
usercpu_time_millis_training
3.6271320000000884
usercpu_time_millis_training
4.03089500000009
usercpu_time_millis_training
4.74897700000021
usercpu_time_millis_training
3.7695129999999466
usercpu_time_millis_training
3.735861000000007
usercpu_time_millis_training
3.715922000000038
usercpu_time_millis_training
3.7136539999997886
usercpu_time_millis_training
3.7290869999999643
usercpu_time_millis_training
3.635387000000101
wall_clock_time_millis_training
4.20689582824707
wall_clock_time_millis_training
3.6275386810302734
wall_clock_time_millis_training
4.165172576904297
wall_clock_time_millis_training
5.321741104125977
wall_clock_time_millis_training
3.911256790161133
wall_clock_time_millis_training
3.8633346557617188
wall_clock_time_millis_training
3.717184066772461
wall_clock_time_millis_training
3.714323043823242
wall_clock_time_millis_training
3.866434097290039
wall_clock_time_millis_training
3.635883331298828
usercpu_time_millis_testing
0.2515849999999986
usercpu_time_millis_testing
0.25563200000000563
usercpu_time_millis_testing
0.30643799999996446
usercpu_time_millis_testing
0.36958799999986525
usercpu_time_millis_testing
0.2684980000000614
usercpu_time_millis_testing
0.2536700000002057
usercpu_time_millis_testing
0.24645400000000706
usercpu_time_millis_testing
0.2599279999997428
usercpu_time_millis_testing
0.2812389999999887
usercpu_time_millis_testing
0.24661700000017106
usercpu_time_millis
4.457923000000363
usercpu_time_millis
3.882764000000094
usercpu_time_millis
4.337333000000054
usercpu_time_millis
5.118565000000075
usercpu_time_millis
4.038011000000008
usercpu_time_millis
3.9895310000002127
usercpu_time_millis
3.962376000000045
usercpu_time_millis
3.9735819999995314
usercpu_time_millis
4.010325999999953
usercpu_time_millis
3.882004000000272
wall_clock_time_millis_testing
0.2529621124267578
wall_clock_time_millis_testing
0.2574920654296875
wall_clock_time_millis_testing
0.3082752227783203
wall_clock_time_millis_testing
0.3712177276611328
wall_clock_time_millis_testing
0.26988983154296875
wall_clock_time_millis_testing
0.25534629821777344
wall_clock_time_millis_testing
0.24819374084472656
wall_clock_time_millis_testing
0.2617835998535156
wall_clock_time_millis_testing
0.2827644348144531
wall_clock_time_millis_testing
0.24843215942382812
wall_clock_time_millis
4.459857940673828
wall_clock_time_millis
3.885030746459961
wall_clock_time_millis
4.473447799682617
wall_clock_time_millis
5.692958831787109
wall_clock_time_millis
4.181146621704102
wall_clock_time_millis
4.118680953979492
wall_clock_time_millis
3.9653778076171875
wall_clock_time_millis
3.976106643676758
wall_clock_time_millis
4.149198532104492
wall_clock_time_millis
3.8843154907226562
predictive_accuracy
0.6266666666666667
predictive_accuracy
0.6933333333333334
predictive_accuracy
0.6266666666666667
predictive_accuracy
0.6133333333333333
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.5866666666666667
predictive_accuracy
0.6133333333333333
predictive_accuracy
0.5466666666666666
predictive_accuracy
0.6351351351351351
predictive_accuracy
0.6891891891891891