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
"mae"
9667
init
null
9667
learning_rate
0.003490755211278953
9667
loss
"deviance"
9667
max_depth
21
9667
max_features
0.8193685906695054
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.8582731881734754
9667
min_impurity_split
null
9667
min_samples_leaf
10
9667
min_samples_split
3
9667
min_weight_fraction_leaf
0.04906040460239092
9667
n_estimators
81
9667
n_iter_no_change
712
9667
presort
"auto"
9667
random_state
63127
9667
subsample
0.41314248565904765
9667
tol
0.00014029005798572492
9667
validation_fraction
0.7136454696192863
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
22966.34990199982
usercpu_time_millis_training
23646.18986000005
usercpu_time_millis_training
23347.849939999833
usercpu_time_millis_training
22692.888787000127
usercpu_time_millis_training
22622.431949999962
usercpu_time_millis_training
22835.572283999907
usercpu_time_millis_training
23520.367956999962
usercpu_time_millis_training
22624.105522000034
usercpu_time_millis_training
23141.91646900008
usercpu_time_millis_training
23571.267648
usercpu_time_millis_testing
5.447967000009157
usercpu_time_millis_testing
5.33559299992703
usercpu_time_millis_testing
5.457626000179516
usercpu_time_millis_testing
6.323765000161075
usercpu_time_millis_testing
5.52309099998638
usercpu_time_millis_testing
5.250423999996201
usercpu_time_millis_testing
7.108964000053675
usercpu_time_millis_testing
5.2691640000830375
usercpu_time_millis_testing
8.083327999884204
usercpu_time_millis_testing
5.28156400014268
usercpu_time_millis
22971.797868999827
usercpu_time_millis
23651.525452999977
usercpu_time_millis
23353.30756600001
usercpu_time_millis
22699.21255200029
usercpu_time_millis
22627.95504099995
usercpu_time_millis
22840.822707999905
usercpu_time_millis
23527.476921000016
usercpu_time_millis
22629.37468600012
usercpu_time_millis
23149.999796999964
usercpu_time_millis
23576.549212000144
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