31
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": [1, 4, 7, 10, 12, 15, 17]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 3, 5, 6, 8, 9, 11, 13, 14, 16, 18, 19]}}]
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
0.003116686161720991
9667
loss
"deviance"
9667
max_depth
11
9667
max_features
0.5344794154725766
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.19871865686232248
9667
min_impurity_split
null
9667
min_samples_leaf
8
9667
min_samples_split
7
9667
min_weight_fraction_leaf
0.053354652522757506
9667
n_estimators
82
9667
n_iter_no_change
117
9667
presort
"auto"
9667
random_state
400
9667
subsample
0.5788581385475623
9667
tol
0.0008304488469994735
9667
validation_fraction
0.02540268606595819
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
87.42806000373093
usercpu_time_millis_training
86.67759200034197
usercpu_time_millis_training
87.01215500332182
usercpu_time_millis_training
86.92859000439057
usercpu_time_millis_training
82.03518500522478
usercpu_time_millis_training
76.43424699926982
usercpu_time_millis_training
79.34056199883344
usercpu_time_millis_training
77.20688200060977
usercpu_time_millis_training
76.12848100689007
usercpu_time_millis_training
76.7175969958771
usercpu_time_millis_testing
3.103601004113443
usercpu_time_millis_testing
2.884146997530479
usercpu_time_millis_testing
3.110564997768961
usercpu_time_millis_testing
2.8685220022452995
usercpu_time_millis_testing
2.71046299894806
usercpu_time_millis_testing
2.5960519997170195
usercpu_time_millis_testing
2.8909579996252432
usercpu_time_millis_testing
2.5194469999405555
usercpu_time_millis_testing
2.5865599964163266
usercpu_time_millis_testing
2.605175002827309
usercpu_time_millis
90.53166100784438
usercpu_time_millis
89.56173899787245
usercpu_time_millis
90.12272000109078
usercpu_time_millis
89.79711200663587
usercpu_time_millis
84.74564800417284
usercpu_time_millis
79.03029899898684
usercpu_time_millis
82.23151999845868
usercpu_time_millis
79.72632900055032
usercpu_time_millis
78.7150410033064
usercpu_time_millis
79.32277199870441
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7