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
"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
"mse"
9667
init
null
9667
learning_rate
4.099850790565805e-05
9667
loss
"deviance"
9667
max_depth
18
9667
max_features
0.26745786468211563
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.46896914614870955
9667
min_impurity_split
null
9667
min_samples_leaf
4
9667
min_samples_split
10
9667
min_weight_fraction_leaf
0.21546194922434436
9667
n_estimators
133
9667
n_iter_no_change
555
9667
presort
"auto"
9667
random_state
28275
9667
subsample
0.5594407935108959
9667
tol
0.06835788727962606
9667
validation_fraction
0.4094971266969367
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
14798.129521999726
usercpu_time_millis_training
14696.085923000282
usercpu_time_millis_training
14762.983274999897
usercpu_time_millis_training
14746.762941999805
usercpu_time_millis_training
14759.487139999692
usercpu_time_millis_training
14730.75895599959
usercpu_time_millis_training
14770.030762000715
usercpu_time_millis_training
14744.70121899958
usercpu_time_millis_training
14645.414587999767
usercpu_time_millis_training
14769.995964000373
usercpu_time_millis_testing
9.50801099952514
usercpu_time_millis_testing
7.365464999566029
usercpu_time_millis_testing
7.675546999962535
usercpu_time_millis_testing
7.381167000858113
usercpu_time_millis_testing
9.587499000190292
usercpu_time_millis_testing
7.398040999760269
usercpu_time_millis_testing
7.7116910006225226
usercpu_time_millis_testing
7.426696999573323
usercpu_time_millis_testing
9.704485999463941
usercpu_time_millis_testing
7.496813000216207
usercpu_time_millis
14807.637532999252
usercpu_time_millis
14703.451387999849
usercpu_time_millis
14770.65882199986
usercpu_time_millis
14754.144109000663
usercpu_time_millis
14769.074638999882
usercpu_time_millis
14738.15699699935
usercpu_time_millis
14777.742453001338
usercpu_time_millis
14752.127915999154
usercpu_time_millis
14655.11907399923
usercpu_time_millis
14777.492777000589
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
predictive_accuracy
0.0125
predictive_accuracy
0.0125