14
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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
9606
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
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
"most_frequent"
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
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
6.598535815787667e-05
9667
loss
"deviance"
9667
max_depth
28
9667
max_features
0.39729960345295023
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max_leaf_nodes
null
9667
min_impurity_decrease
0.5090541575444729
9667
min_impurity_split
null
9667
min_samples_leaf
16
9667
min_samples_split
5
9667
min_weight_fraction_leaf
0.37823029816947246
9667
n_estimators
168
9667
n_iter_no_change
848
9667
presort
"auto"
9667
random_state
54080
9667
subsample
0.6183031433475532
9667
tol
0.0004950393275068482
9667
validation_fraction
0.9699010685566329
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
4222.6576910034055
usercpu_time_millis_training
4007.7565769897774
usercpu_time_millis_training
4175.254988003871
usercpu_time_millis_training
3752.9521610122174
usercpu_time_millis_training
3389.3248660024256
usercpu_time_millis_training
4265.04948901129
usercpu_time_millis_training
4394.731314998353
usercpu_time_millis_training
3950.134683997021
usercpu_time_millis_training
4438.412025003345
usercpu_time_millis_training
4589.279708001413
usercpu_time_millis_testing
12.28359500237275
usercpu_time_millis_testing
13.272109994431958
usercpu_time_millis_testing
13.152915998944081
usercpu_time_millis_testing
14.697588005219586
usercpu_time_millis_testing
15.939878998324275
usercpu_time_millis_testing
15.77203300257679
usercpu_time_millis_testing
12.458593002520502
usercpu_time_millis_testing
27.072256998508237
usercpu_time_millis_testing
15.979931005858816
usercpu_time_millis_testing
62.91173399949912
usercpu_time_millis
4234.941286005778
usercpu_time_millis
4021.0286869842093
usercpu_time_millis
4188.4079040028155
usercpu_time_millis
3767.649749017437
usercpu_time_millis
3405.26474500075
usercpu_time_millis
4280.821522013866
usercpu_time_millis
4407.189908000873
usercpu_time_millis
3977.2069409955293
usercpu_time_millis
4454.391956009204
usercpu_time_millis
4652.1914420009125
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