9954
9666
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]}}, {"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
0.09469306111055992
9667
loss
"deviance"
9667
max_depth
23
9667
max_features
0.35718990820393126
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.3867356283376574
9667
min_impurity_split
null
9667
min_samples_leaf
10
9667
min_samples_split
14
9667
min_weight_fraction_leaf
0.3815275987561766
9667
n_estimators
273
9667
n_iter_no_change
764
9667
presort
"auto"
9667
random_state
41091
9667
subsample
0.14859444522907383
9667
tol
0.022700761015937806
9667
validation_fraction
0.4527169827268519
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
37790.908699
usercpu_time_millis_training
37408.56838299999
usercpu_time_millis_training
37508.98322899997
usercpu_time_millis_training
37497.043725000025
usercpu_time_millis_training
37263.90063100001
usercpu_time_millis_training
37370.826717
usercpu_time_millis_training
37222.83813499996
usercpu_time_millis_training
37390.11278499993
usercpu_time_millis_training
37393.28514800002
usercpu_time_millis_training
37348.502310999946
usercpu_time_millis_testing
18.672702000003483
usercpu_time_millis_testing
15.263116000028276
usercpu_time_millis_testing
17.47676100001172
usercpu_time_millis_testing
15.960452000001624
usercpu_time_millis_testing
15.524921000007907
usercpu_time_millis_testing
15.815972999973837
usercpu_time_millis_testing
21.922673999938525
usercpu_time_millis_testing
14.650446000018746
usercpu_time_millis_testing
15.41979600006016
usercpu_time_millis_testing
15.243660000010095
usercpu_time_millis
37809.581401
usercpu_time_millis
37423.83149900002
usercpu_time_millis
37526.45998999998
usercpu_time_millis
37513.004177000024
usercpu_time_millis
37279.42555200002
usercpu_time_millis
37386.64268999998
usercpu_time_millis
37244.7608089999
usercpu_time_millis
37404.76323099995
usercpu_time_millis
37408.70494400008
usercpu_time_millis
37363.74597099995
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625