3543
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, 3]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 2, 4]}}]
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
0.0012297959918572048
9667
loss
"deviance"
9667
max_depth
18
9667
max_features
0.18281075803983582
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5481722698380489
9667
min_impurity_split
null
9667
min_samples_leaf
12
9667
min_samples_split
5
9667
min_weight_fraction_leaf
0.10598428978590113
9667
n_estimators
201
9667
n_iter_no_change
1236
9667
presort
"auto"
9667
random_state
63115
9667
subsample
0.3291331425906784
9667
tol
0.0021695041449134246
9667
validation_fraction
0.1541948529501158
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
156.29762800017488
usercpu_time_millis_training
150.20802399885724
usercpu_time_millis_training
148.76947099764948
usercpu_time_millis_training
149.1448169981595
usercpu_time_millis_training
138.3173279973562
usercpu_time_millis_training
137.53987800009781
usercpu_time_millis_training
137.44404099998064
usercpu_time_millis_training
137.68247800180689
usercpu_time_millis_training
138.32141999955638
usercpu_time_millis_training
137.7069959999062
usercpu_time_millis_testing
3.2461340015288442
usercpu_time_millis_testing
3.212132000044221
usercpu_time_millis_testing
3.0066020008234773
usercpu_time_millis_testing
3.0115410008875187
usercpu_time_millis_testing
2.9463060018315446
usercpu_time_millis_testing
2.769988997897599
usercpu_time_millis_testing
2.7692360017681494
usercpu_time_millis_testing
2.829155000654282
usercpu_time_millis_testing
3.050195999094285
usercpu_time_millis_testing
3.123332997347461
usercpu_time_millis
159.54376200170373
usercpu_time_millis
153.42015599890146
usercpu_time_millis
151.77607299847296
usercpu_time_millis
152.15635799904703
usercpu_time_millis
141.26363399918773
usercpu_time_millis
140.3098669979954
usercpu_time_millis
140.2132770017488
usercpu_time_millis
140.51163300246117
usercpu_time_millis
141.37161599865067
usercpu_time_millis
140.83032899725367
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.56
predictive_accuracy
0.54
predictive_accuracy
0.54