14
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memory
null
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steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
n_jobs
null
9606
remainder
"passthrough"
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sparse_threshold
0.3
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transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
9606
memory
null
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steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
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axis
0
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copy
true
9608
missing_values
"NaN"
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strategy
"median"
9608
verbose
0
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copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
categorical_features
null
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categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
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sparse
true
9611
threshold
0.0
9612
criterion
"mae"
9667
init
null
9667
learning_rate
0.06992548767363138
9667
loss
"deviance"
9667
max_depth
24
9667
max_features
0.22804270209452293
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max_leaf_nodes
null
9667
min_impurity_decrease
0.6579603416578266
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min_impurity_split
null
9667
min_samples_leaf
12
9667
min_samples_split
4
9667
min_weight_fraction_leaf
0.41591808869077534
9667
n_estimators
509
9667
n_iter_no_change
670
9667
presort
"auto"
9667
random_state
4817
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subsample
0.5422659003156636
9667
tol
3.312703205277088e-05
9667
validation_fraction
0.38969392581218465
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
102871.53088900959
usercpu_time_millis_training
104759.71472699894
usercpu_time_millis_training
103968.47280298243
usercpu_time_millis_training
103846.93554599653
usercpu_time_millis_training
104598.38784500607
usercpu_time_millis_training
105014.66101102415
usercpu_time_millis_training
103694.83316200785
usercpu_time_millis_training
105098.51867001271
usercpu_time_millis_training
105273.62361102132
usercpu_time_millis_training
104592.52027599723
usercpu_time_millis_testing
27.986089000478387
usercpu_time_millis_testing
24.725969007704407
usercpu_time_millis_testing
27.38183698966168
usercpu_time_millis_testing
24.477188009768724
usercpu_time_millis_testing
26.044111989904195
usercpu_time_millis_testing
24.889967986382544
usercpu_time_millis_testing
25.922136002918705
usercpu_time_millis_testing
24.828416004311293
usercpu_time_millis_testing
28.06654298910871
usercpu_time_millis_testing
26.048788015032187
usercpu_time_millis
102899.51697801007
usercpu_time_millis
104784.44069600664
usercpu_time_millis
103995.8546399721
usercpu_time_millis
103871.4127340063
usercpu_time_millis
104624.43195699598
usercpu_time_millis
105039.55097901053
usercpu_time_millis
103720.75529801077
usercpu_time_millis
105123.34708601702
usercpu_time_millis
105301.69015401043
usercpu_time_millis
104618.56906401226
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1