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
17407
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
17462
intercept_scaling
1
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l1_ratio
null
17462
max_iter
724
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multi_class
"auto"
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n_jobs
null
17462
penalty
"l2"
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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
72084.56400000432
usercpu_time_millis_training
43447.94399999955
usercpu_time_millis_training
29832.522000004246
usercpu_time_millis_training
50486.24000000564
usercpu_time_millis_training
49175.29600000125
usercpu_time_millis_training
47574.7360000023
usercpu_time_millis_training
63512.62399999541
usercpu_time_millis_training
35041.38799999782
usercpu_time_millis_training
33121.96799999947
usercpu_time_millis_training
26251.458000006096
wall_clock_time_millis_training
91889.66703414917
wall_clock_time_millis_training
66517.47989654541
wall_clock_time_millis_training
35591.285705566406
wall_clock_time_millis_training
156520.28584480286
wall_clock_time_millis_training
149318.47310066223
wall_clock_time_millis_training
60490.73004722595
wall_clock_time_millis_training
62270.23482322693
wall_clock_time_millis_training
26524.57284927368
wall_clock_time_millis_training
21067.406177520752
wall_clock_time_millis_training
15273.862838745117
usercpu_time_millis_testing
176.68399999820394
usercpu_time_millis_testing
187.13199999911012
usercpu_time_millis_testing
143.6360000006971
usercpu_time_millis_testing
195.8539999977802
usercpu_time_millis_testing
178.40200000500772
usercpu_time_millis_testing
175.6180000011227
usercpu_time_millis_testing
130.27000000147382
usercpu_time_millis_testing
168.6760000011418
usercpu_time_millis_testing
101.06400000222493
usercpu_time_millis_testing
94.44599999551428
usercpu_time_millis
72261.24800000252
usercpu_time_millis
43635.07599999866
usercpu_time_millis
29976.158000004943
usercpu_time_millis
50682.09400000342
usercpu_time_millis
49353.69800000626
usercpu_time_millis
47750.354000003426
usercpu_time_millis
63642.893999996886
usercpu_time_millis
35210.063999998965
usercpu_time_millis
33223.032000001695
usercpu_time_millis
26345.90400000161
wall_clock_time_millis_testing
197.18384742736816
wall_clock_time_millis_testing
399.4920253753662
wall_clock_time_millis_testing
155.41911125183105
wall_clock_time_millis_testing
1048.7830638885498
wall_clock_time_millis_testing
473.1593132019043
wall_clock_time_millis_testing
185.0581169128418
wall_clock_time_millis_testing
96.51303291320801
wall_clock_time_millis_testing
146.23093605041504
wall_clock_time_millis_testing
68.145751953125
wall_clock_time_millis_testing
61.20705604553223
wall_clock_time_millis
92086.85088157654
wall_clock_time_millis
66916.97192192078
wall_clock_time_millis
35746.70481681824
wall_clock_time_millis
157569.0689086914
wall_clock_time_millis
149791.63241386414
wall_clock_time_millis
60675.788164138794
wall_clock_time_millis
62366.74785614014
wall_clock_time_millis
26670.803785324097
wall_clock_time_millis
21135.551929473877
wall_clock_time_millis
15335.06989479065
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