9954
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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
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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
0.05814279661453799
9667
loss
"deviance"
9667
max_depth
9
9667
max_features
0.24156436017213023
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max_leaf_nodes
null
9667
min_impurity_decrease
0.0998406228189418
9667
min_impurity_split
null
9667
min_samples_leaf
3
9667
min_samples_split
8
9667
min_weight_fraction_leaf
0.018441508228383807
9667
n_estimators
93
9667
n_iter_no_change
1686
9667
presort
"auto"
9667
random_state
55197
9667
subsample
0.8111520453439274
9667
tol
0.0005305109821878586
9667
validation_fraction
0.40451670370119863
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
62477.20496399961
usercpu_time_millis_training
62075.582354999824
usercpu_time_millis_training
62262.57559100031
usercpu_time_millis_training
61938.988052999775
usercpu_time_millis_training
61988.94217400039
usercpu_time_millis_training
61981.14038299991
usercpu_time_millis_training
61959.62771899985
usercpu_time_millis_training
62129.468998
usercpu_time_millis_training
61912.98715899984
usercpu_time_millis_training
61957.023639
usercpu_time_millis_testing
8.086306000222976
usercpu_time_millis_testing
7.036164000055578
usercpu_time_millis_testing
6.09384700010196
usercpu_time_millis_testing
6.453014999806328
usercpu_time_millis_testing
7.431983000060427
usercpu_time_millis_testing
6.349645000227611
usercpu_time_millis_testing
6.708711999635852
usercpu_time_millis_testing
8.002071999726468
usercpu_time_millis_testing
8.582610000303248
usercpu_time_millis_testing
7.6554180000130145
usercpu_time_millis
62485.291269999834
usercpu_time_millis
62082.61851899988
usercpu_time_millis
62268.66943800042
usercpu_time_millis
61945.44106799958
usercpu_time_millis
61996.37415700045
usercpu_time_millis
61987.49002800014
usercpu_time_millis
61966.33643099949
usercpu_time_millis
62137.47106999972
usercpu_time_millis
61921.56976900014
usercpu_time_millis
61964.679057000016
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125