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"}}]
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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
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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
1.0
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class_weight
null
17462
dual
false
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fit_intercept
true
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intercept_scaling
1
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l1_ratio
null
17462
max_iter
100
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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
"warn"
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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
5377.303999997821
usercpu_time_millis_training
5060.299999997369
usercpu_time_millis_training
5735.768000002281
usercpu_time_millis_training
5489.203999997699
usercpu_time_millis_training
5205.772000001161
usercpu_time_millis_training
5602.648000000045
usercpu_time_millis_training
5365.3379999996105
usercpu_time_millis_training
5333.842000000004
usercpu_time_millis_training
5378.086000000621
usercpu_time_millis_training
5166.126000000077
wall_clock_time_millis_training
3014.16015625
wall_clock_time_millis_training
2905.0190448760986
wall_clock_time_millis_training
3233.6456775665283
wall_clock_time_millis_training
3013.6938095092773
wall_clock_time_millis_training
2911.8809700012207
wall_clock_time_millis_training
3142.422914505005
wall_clock_time_millis_training
2923.875093460083
wall_clock_time_millis_training
2957.102060317993
wall_clock_time_millis_training
2985.955238342285
wall_clock_time_millis_training
2939.0718936920166
usercpu_time_millis_testing
37.16999999960535
usercpu_time_millis_testing
35.33199999947101
usercpu_time_millis_testing
41.81599999719765
usercpu_time_millis_testing
40.76800000257208
usercpu_time_millis_testing
39.3739999999525
usercpu_time_millis_testing
38.548000000446336
usercpu_time_millis_testing
45.05000000062864
usercpu_time_millis_testing
38.61200000028475
usercpu_time_millis_testing
43.26800000126241
usercpu_time_millis_testing
42.317999999795575
usercpu_time_millis
5414.473999997426
usercpu_time_millis
5095.63199999684
usercpu_time_millis
5777.583999999479
usercpu_time_millis
5529.972000000271
usercpu_time_millis
5245.146000001114
usercpu_time_millis
5641.196000000491
usercpu_time_millis
5410.388000000239
usercpu_time_millis
5372.454000000289
usercpu_time_millis
5421.354000001884
usercpu_time_millis
5208.443999999872
wall_clock_time_millis_testing
28.306961059570312
wall_clock_time_millis_testing
28.79500389099121
wall_clock_time_millis_testing
29.852867126464844
wall_clock_time_millis_testing
31.399250030517578
wall_clock_time_millis_testing
30.305147171020508
wall_clock_time_millis_testing
29.38699722290039
wall_clock_time_millis_testing
32.29117393493652
wall_clock_time_millis_testing
27.395009994506836
wall_clock_time_millis_testing
35.588741302490234
wall_clock_time_millis_testing
31.028032302856445
wall_clock_time_millis
3042.4671173095703
wall_clock_time_millis
2933.81404876709
wall_clock_time_millis
3263.498544692993
wall_clock_time_millis
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wall_clock_time_millis
2942.186117172241
wall_clock_time_millis
3171.8099117279053
wall_clock_time_millis
2956.1662673950195
wall_clock_time_millis
2984.4970703125
wall_clock_time_millis
3021.5439796447754
wall_clock_time_millis
2970.099925994873
predictive_accuracy
0.9489411082100377
predictive_accuracy
0.9503916449086162
predictive_accuracy
0.9442993907745866
predictive_accuracy
0.9518421816071947
predictive_accuracy
0.9474905715114592
predictive_accuracy
0.948636099825885
predictive_accuracy
0.9480557167730702
predictive_accuracy
0.9535693557748114
predictive_accuracy
0.9524085896691816
predictive_accuracy
0.9477655252466628