3512
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memory
null
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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]}}, {"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
"mse"
9667
init
null
9667
learning_rate
0.0003389152442364476
9667
loss
"deviance"
9667
max_depth
7
9667
max_features
0.4730575361882995
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max_leaf_nodes
null
9667
min_impurity_decrease
0.7337533343802567
9667
min_impurity_split
null
9667
min_samples_leaf
18
9667
min_samples_split
14
9667
min_weight_fraction_leaf
0.24015339115663886
9667
n_estimators
110
9667
n_iter_no_change
1465
9667
presort
"auto"
9667
random_state
27066
9667
subsample
0.5727409119808774
9667
tol
0.0017623055703292895
9667
validation_fraction
0.10398749688558451
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
623.8256569995428
usercpu_time_millis_training
578.1423380030901
usercpu_time_millis_training
574.7266849939479
usercpu_time_millis_training
595.7629320037086
usercpu_time_millis_training
575.7239809972816
usercpu_time_millis_training
575.973895000061
usercpu_time_millis_training
577.706247997412
usercpu_time_millis_training
574.66283699614
usercpu_time_millis_training
575.4162189987255
usercpu_time_millis_training
574.3522620032309
usercpu_time_millis_testing
1.212686998769641
usercpu_time_millis_testing
1.039463997585699
usercpu_time_millis_testing
1.1536430029082112
usercpu_time_millis_testing
1.1722179988282733
usercpu_time_millis_testing
1.1147580007673241
usercpu_time_millis_testing
1.0553559986874461
usercpu_time_millis_testing
1.1304739964543842
usercpu_time_millis_testing
1.0505239988560788
usercpu_time_millis_testing
1.1378819981473498
usercpu_time_millis_testing
1.0535539986449294
usercpu_time_millis
625.0383439983125
usercpu_time_millis
579.1818020006758
usercpu_time_millis
575.8803279968561
usercpu_time_millis
596.9351500025368
usercpu_time_millis
576.8387389980489
usercpu_time_millis
577.0292509987485
usercpu_time_millis
578.8367219938664
usercpu_time_millis
575.713360994996
usercpu_time_millis
576.5541009968729
usercpu_time_millis
575.4058160018758
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666