125920
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": [2]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11]}}]
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
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
0.00044550430066857597
9667
loss
"deviance"
9667
max_depth
28
9667
max_features
0.41220948309970595
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.19213925949100963
9667
min_impurity_split
null
9667
min_samples_leaf
13
9667
min_samples_split
20
9667
min_weight_fraction_leaf
0.4561759902061867
9667
n_estimators
89
9667
n_iter_no_change
1104
9667
presort
"auto"
9667
random_state
493
9667
subsample
0.22734564704955595
9667
tol
0.006431703962645356
9667
validation_fraction
0.7379706137195035
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
67.90661099512363
usercpu_time_millis_training
66.05634299921803
usercpu_time_millis_training
66.06088000262389
usercpu_time_millis_training
66.02206100069452
usercpu_time_millis_training
65.94992900500074
usercpu_time_millis_training
60.45975999586517
usercpu_time_millis_training
58.57907699828502
usercpu_time_millis_training
58.09322699496988
usercpu_time_millis_training
58.03635999473045
usercpu_time_millis_training
58.990083998651244
usercpu_time_millis_testing
4.15206300385762
usercpu_time_millis_testing
4.228829995554406
usercpu_time_millis_testing
3.9954699968802743
usercpu_time_millis_testing
4.175510999630205
usercpu_time_millis_testing
4.182554999715649
usercpu_time_millis_testing
3.7954220024403185
usercpu_time_millis_testing
3.831743000773713
usercpu_time_millis_testing
3.5829819971695542
usercpu_time_millis_testing
3.706444003910292
usercpu_time_millis_testing
3.67697100591613
usercpu_time_millis
72.05867399898125
usercpu_time_millis
70.28517299477244
usercpu_time_millis
70.05634999950416
usercpu_time_millis
70.19757200032473
usercpu_time_millis
70.13248400471639
usercpu_time_millis
64.25518199830549
usercpu_time_millis
62.41081999905873
usercpu_time_millis
61.676208992139436
usercpu_time_millis
61.74280399864074
usercpu_time_millis
62.66705500456737
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.58
predictive_accuracy
0.58