9954
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memory
null
9666
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"
9606
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]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
9606
memory
null
9607
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"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"mean"
9608
verbose
0
9608
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
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
criterion
"mae"
9667
init
null
9667
learning_rate
0.014231066145807976
9667
loss
"deviance"
9667
max_depth
18
9667
max_features
0.6907772162968353
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max_leaf_nodes
null
9667
min_impurity_decrease
0.8431724300086451
9667
min_impurity_split
null
9667
min_samples_leaf
5
9667
min_samples_split
11
9667
min_weight_fraction_leaf
0.056392181505125316
9667
n_estimators
332
9667
n_iter_no_change
1843
9667
presort
"auto"
9667
random_state
64501
9667
subsample
0.056710870361982635
9667
tol
0.0007525094885011541
9667
validation_fraction
0.22437364013970285
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
46196.5395599982
usercpu_time_millis_training
46193.87546600046
usercpu_time_millis_training
46389.670529002615
usercpu_time_millis_training
46538.52552900207
usercpu_time_millis_training
46439.84101499518
usercpu_time_millis_training
46493.65227999806
usercpu_time_millis_training
46416.50427100103
usercpu_time_millis_training
46434.74597000022
usercpu_time_millis_training
46295.53352899529
usercpu_time_millis_training
46331.46184000361
usercpu_time_millis_testing
17.420350995962508
usercpu_time_millis_testing
18.352088998653926
usercpu_time_millis_testing
20.211700000800192
usercpu_time_millis_testing
17.611896997550502
usercpu_time_millis_testing
19.93900899833534
usercpu_time_millis_testing
19.913237003493123
usercpu_time_millis_testing
18.07809100137092
usercpu_time_millis_testing
20.046935002028476
usercpu_time_millis_testing
19.875257996318396
usercpu_time_millis_testing
19.556520994228777
usercpu_time_millis
46213.95991099416
usercpu_time_millis
46212.22755499912
usercpu_time_millis
46409.882229003415
usercpu_time_millis
46556.13742599962
usercpu_time_millis
46459.78002399352
usercpu_time_millis
46513.56551700155
usercpu_time_millis
46434.5823620024
usercpu_time_millis
46454.79290500225
usercpu_time_millis
46315.40878699161
usercpu_time_millis
46351.01836099784
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.0125
predictive_accuracy
0.0125