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
15.0
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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
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verbose
0
17462
warm_start
false
17462
openml-python
Sklearn_0.21.2.
usercpu_time_millis_training
36.70000000420259
usercpu_time_millis_training
36.311999996542
usercpu_time_millis_training
35.823999998683576
usercpu_time_millis_training
38.83800000039628
usercpu_time_millis_training
35.72200000053272
usercpu_time_millis_training
35.30200000386685
usercpu_time_millis_training
38.676000003761146
usercpu_time_millis_training
36.25000000465661
usercpu_time_millis_training
35.949999997683335
usercpu_time_millis_training
40.67200000281446
wall_clock_time_millis_training
18.441200256347656
wall_clock_time_millis_training
19.58918571472168
wall_clock_time_millis_training
18.031835556030273
wall_clock_time_millis_training
19.850969314575195
wall_clock_time_millis_training
17.960786819458008
wall_clock_time_millis_training
17.73381233215332
wall_clock_time_millis_training
19.53601837158203
wall_clock_time_millis_training
18.23902130126953
wall_clock_time_millis_training
18.08786392211914
wall_clock_time_millis_training
20.593881607055664
usercpu_time_millis_testing
6.423999999242369
usercpu_time_millis_testing
7.2040000013657846
usercpu_time_millis_testing
5.987999997159932
usercpu_time_millis_testing
6.3659999941592105
usercpu_time_millis_testing
6.578000000445172
usercpu_time_millis_testing
6.005999995977618
usercpu_time_millis_testing
7.312000001547858
usercpu_time_millis_testing
6.151999994472135
usercpu_time_millis_testing
5.971999999019317
usercpu_time_millis_testing
6.3919999956851825
usercpu_time_millis
43.12400000344496
usercpu_time_millis
43.515999997907784
usercpu_time_millis
41.81199999584351
usercpu_time_millis
45.20399999455549
usercpu_time_millis
42.30000000097789
usercpu_time_millis
41.30799999984447
usercpu_time_millis
45.988000005309004
usercpu_time_millis
42.40199999912875
usercpu_time_millis
41.92199999670265
usercpu_time_millis
47.06399999849964
wall_clock_time_millis_testing
3.2613277435302734
wall_clock_time_millis_testing
3.7920475006103516
wall_clock_time_millis_testing
3.0601024627685547
wall_clock_time_millis_testing
3.206014633178711
wall_clock_time_millis_testing
3.343820571899414
wall_clock_time_millis_testing
3.0579566955566406
wall_clock_time_millis_testing
3.704071044921875
wall_clock_time_millis_testing
3.1280517578125
wall_clock_time_millis_testing
3.021240234375
wall_clock_time_millis_testing
3.242015838623047
wall_clock_time_millis
21.70252799987793
wall_clock_time_millis
23.38123321533203
wall_clock_time_millis
21.091938018798828
wall_clock_time_millis
23.056983947753906
wall_clock_time_millis
21.304607391357422
wall_clock_time_millis
20.79176902770996
wall_clock_time_millis
23.240089416503906
wall_clock_time_millis
21.36707305908203
wall_clock_time_millis
21.10910415649414
wall_clock_time_millis
23.83589744567871
predictive_accuracy
0.7962962962962963
predictive_accuracy
0.7037037037037037
predictive_accuracy
0.7962962962962963
predictive_accuracy
0.7222222222222222
predictive_accuracy
0.7037037037037037
predictive_accuracy
0.7592592592592593
predictive_accuracy
0.8333333333333334
predictive_accuracy
0.6481481481481481
predictive_accuracy
0.7777777777777778
predictive_accuracy
0.6851851851851852