3543
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": [1, 3]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 4]}}]
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
"median"
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
"mse"
9667
init
null
9667
learning_rate
0.023385043792529037
9667
loss
"deviance"
9667
max_depth
20
9667
max_features
0.08185718581092738
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.1439850402143089
9667
min_impurity_split
null
9667
min_samples_leaf
10
9667
min_samples_split
3
9667
min_weight_fraction_leaf
0.48828038593350864
9667
n_estimators
277
9667
n_iter_no_change
1599
9667
presort
"auto"
9667
random_state
3655
9667
subsample
0.7758683906844916
9667
tol
0.0007576900869903557
9667
validation_fraction
0.32327530091306433
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
198.07744499848923
usercpu_time_millis_training
193.25328900231398
usercpu_time_millis_training
192.55613899804302
usercpu_time_millis_training
180.44599200220546
usercpu_time_millis_training
177.9493520007236
usercpu_time_millis_training
177.70369199934066
usercpu_time_millis_training
177.49140299929422
usercpu_time_millis_training
177.55179400046472
usercpu_time_millis_training
178.0500540007779
usercpu_time_millis_training
177.9322799993679
usercpu_time_millis_testing
3.1912289996398613
usercpu_time_millis_testing
3.1909010031085927
usercpu_time_millis_testing
3.138202999252826
usercpu_time_millis_testing
2.968635002616793
usercpu_time_millis_testing
2.9790219996357337
usercpu_time_millis_testing
3.0333520007843617
usercpu_time_millis_testing
3.0342370009748265
usercpu_time_millis_testing
2.9671279989997856
usercpu_time_millis_testing
2.9622869988088496
usercpu_time_millis_testing
2.967445001559099
usercpu_time_millis
201.2686739981291
usercpu_time_millis
196.44419000542257
usercpu_time_millis
195.69434199729585
usercpu_time_millis
183.41462700482225
usercpu_time_millis
180.92837400035933
usercpu_time_millis
180.73704400012502
usercpu_time_millis
180.52564000026905
usercpu_time_millis
180.5189219994645
usercpu_time_millis
181.01234099958674
usercpu_time_millis
180.899725000927
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.54
predictive_accuracy
0.54