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
"friedman_mse"
9667
init
null
9667
learning_rate
0.000244866940756016
9667
loss
"deviance"
9667
max_depth
25
9667
max_features
0.21594231617873527
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max_leaf_nodes
null
9667
min_impurity_decrease
0.48065589160137134
9667
min_impurity_split
null
9667
min_samples_leaf
6
9667
min_samples_split
20
9667
min_weight_fraction_leaf
0.28433049712807174
9667
n_estimators
1484
9667
n_iter_no_change
55
9667
presort
"auto"
9667
random_state
28704
9667
subsample
0.4471560010585328
9667
tol
0.0002047146803643851
9667
validation_fraction
0.5719039455289024
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
4941.180149000502
usercpu_time_millis_training
4885.478300999239
usercpu_time_millis_training
4878.987146999862
usercpu_time_millis_training
4886.602189999394
usercpu_time_millis_training
4880.091178998555
usercpu_time_millis_training
4887.926654000694
usercpu_time_millis_training
4871.90029300109
usercpu_time_millis_training
4894.756728001084
usercpu_time_millis_training
4913.357118999556
usercpu_time_millis_training
4891.339064999556
usercpu_time_millis_testing
5.069842000011704
usercpu_time_millis_testing
4.050298000947805
usercpu_time_millis_testing
4.422953999892343
usercpu_time_millis_testing
4.165027999988524
usercpu_time_millis_testing
4.49780000053579
usercpu_time_millis_testing
4.82232000103977
usercpu_time_millis_testing
4.464179999558837
usercpu_time_millis_testing
4.77841900101339
usercpu_time_millis_testing
4.409911000038846
usercpu_time_millis_testing
4.136937001021579
usercpu_time_millis
4946.249991000514
usercpu_time_millis
4889.528599000187
usercpu_time_millis
4883.410100999754
usercpu_time_millis
4890.767217999382
usercpu_time_millis
4884.588978999091
usercpu_time_millis
4892.748974001734
usercpu_time_millis
4876.364473000649
usercpu_time_millis
4899.535147002098
usercpu_time_millis
4917.767029999595
usercpu_time_millis
4895.476002000578
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.025
predictive_accuracy
0.025
predictive_accuracy
0.025
predictive_accuracy
0.025
predictive_accuracy
0.025
predictive_accuracy
0.025
predictive_accuracy
0.0125
predictive_accuracy
0.0125