34537
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": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "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]}}]
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
0.018549525359115315
9667
loss
"deviance"
9667
max_depth
30
9667
max_features
0.9082646716171867
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.7308165712806227
9667
min_impurity_split
null
9667
min_samples_leaf
18
9667
min_samples_split
10
9667
min_weight_fraction_leaf
0.06589403205681782
9667
n_estimators
1394
9667
n_iter_no_change
1772
9667
presort
"auto"
9667
random_state
18871
9667
subsample
0.6806337891193456
9667
tol
0.004579187610234539
9667
validation_fraction
0.443688865616652
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
715937.2013360043
usercpu_time_millis_training
714228.6526009993
usercpu_time_millis_training
701671.120166
usercpu_time_millis_training
686996.9509449948
usercpu_time_millis_training
687884.6237620019
usercpu_time_millis_training
686787.0198329983
usercpu_time_millis_training
687432.3907299986
usercpu_time_millis_training
686296.4891709998
usercpu_time_millis_training
687368.1653129971
usercpu_time_millis_training
686709.5626309966
usercpu_time_millis_testing
11.80417499563191
usercpu_time_millis_testing
10.739848999946844
usercpu_time_millis_testing
10.85025000065798
usercpu_time_millis_testing
10.423271996842232
usercpu_time_millis_testing
11.04745300108334
usercpu_time_millis_testing
10.514766996493563
usercpu_time_millis_testing
11.955802998272702
usercpu_time_millis_testing
10.49426900135586
usercpu_time_millis_testing
11.053223002818413
usercpu_time_millis_testing
10.729596004239284
usercpu_time_millis
715949.0055109999
usercpu_time_millis
714239.3924499992
usercpu_time_millis
701681.9704160006
usercpu_time_millis
687007.3742169917
usercpu_time_millis
687895.6712150029
usercpu_time_millis
686797.5345999948
usercpu_time_millis
687444.3465329969
usercpu_time_millis
686306.9834400013
usercpu_time_millis
687379.2185359999
usercpu_time_millis
686720.2922270008
predictive_accuracy
0.5569620253164557
predictive_accuracy
0.5569620253164557
predictive_accuracy
0.5569620253164557
predictive_accuracy
0.5569620253164557
predictive_accuracy
0.5569620253164557
predictive_accuracy
0.5574660633484163
predictive_accuracy
0.5574660633484163
predictive_accuracy
0.5565610859728507
predictive_accuracy
0.5565610859728507
predictive_accuracy
0.5565610859728507