9977
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memory
null
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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
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add_indicator
false
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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
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n_jobs
null
18299
remainder
"drop"
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sparse_threshold
0.3
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transformer_weights
null
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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
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with_mean
true
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with_std
true
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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
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drop
null
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
null
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sparse
true
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C
1.0229391816
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class_weight
null
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dual
true
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fit_intercept
true
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intercept_scaling
1
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l1_ratio
null
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max_iter
309
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multi_class
"warn"
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n_jobs
null
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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.
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9198.371999998926
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9040.476000001945
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usercpu_time_millis_training
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usercpu_time_millis_training
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9062.841999999364
usercpu_time_millis_training
8953.529999998864
usercpu_time_millis_training
9128.702000001795
usercpu_time_millis_training
9105.397999999695
wall_clock_time_millis_training
4692.624092102051
wall_clock_time_millis_training
4607.7399253845215
wall_clock_time_millis_training
4591.514825820923
wall_clock_time_millis_training
4632.059097290039
wall_clock_time_millis_training
4584.847211837769
wall_clock_time_millis_training
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wall_clock_time_millis_training
4583.580017089844
wall_clock_time_millis_training
4656.277894973755
wall_clock_time_millis_training
4648.698091506958
usercpu_time_millis_testing
31.401999993249774
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usercpu_time_millis_testing
35.31400000065332
usercpu_time_millis_testing
37.302000004274305
usercpu_time_millis_testing
37.367999997513834
usercpu_time_millis_testing
31.199999997625127
usercpu_time_millis_testing
37.75199999654433
usercpu_time_millis_testing
32.87400000408525
usercpu_time_millis_testing
35.6439999959548
usercpu_time_millis_testing
36.16399999737041
usercpu_time_millis
9229.773999992176
usercpu_time_millis
9074.996000003011
usercpu_time_millis
9049.001999999746
usercpu_time_millis
9125.114000002213
usercpu_time_millis
9033.86999999202
usercpu_time_millis
9053.679999997257
usercpu_time_millis
9100.593999995908
usercpu_time_millis
8986.404000002949
usercpu_time_millis
9164.34599999775
usercpu_time_millis
9141.561999997066
wall_clock_time_millis_testing
22.869110107421875
wall_clock_time_millis_testing
24.372100830078125
wall_clock_time_millis_testing
24.709224700927734
wall_clock_time_millis_testing
26.022911071777344
wall_clock_time_millis_testing
25.56014060974121
wall_clock_time_millis_testing
23.53191375732422
wall_clock_time_millis_testing
25.614023208618164
wall_clock_time_millis_testing
23.109912872314453
wall_clock_time_millis_testing
24.804115295410156
wall_clock_time_millis_testing
24.75595474243164
wall_clock_time_millis
4715.493202209473
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
4624.385595321655
wall_clock_time_millis
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wall_clock_time_millis
4606.689929962158
wall_clock_time_millis
4681.082010269165
wall_clock_time_millis
4673.45404624939
predictive_accuracy
0.9489411082100377
predictive_accuracy
0.9503916449086162
predictive_accuracy
0.9440092834348709
predictive_accuracy
0.9518421816071947
predictive_accuracy
0.9472004641717435
predictive_accuracy
0.9483459082994776
predictive_accuracy
0.9480557167730702
predictive_accuracy
0.953279164248404
predictive_accuracy
0.9524085896691816
predictive_accuracy
0.9480557167730702