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
"median"
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
1.0430219913271902e-05
9667
loss
"deviance"
9667
max_depth
13
9667
max_features
0.45311501697444423
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.6749289682117535
9667
min_impurity_split
null
9667
min_samples_leaf
6
9667
min_samples_split
5
9667
min_weight_fraction_leaf
0.054918070616401304
9667
n_estimators
113
9667
n_iter_no_change
8
9667
presort
"auto"
9667
random_state
30292
9667
subsample
0.6490174335179292
9667
tol
0.0005711475044235892
9667
validation_fraction
0.7180912523425838
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
18.51984499808168
usercpu_time_millis_training
14.695325000502635
usercpu_time_millis_training
14.584956999897258
usercpu_time_millis_training
14.71070499974303
usercpu_time_millis_training
14.624497998738661
usercpu_time_millis_training
14.66290200187359
usercpu_time_millis_training
14.643671998783248
usercpu_time_millis_training
14.574221000657417
usercpu_time_millis_training
14.630516998295207
usercpu_time_millis_training
14.708298000186915
usercpu_time_millis_testing
3.320308998809196
usercpu_time_millis_testing
2.9103880006005056
usercpu_time_millis_testing
2.933288000349421
usercpu_time_millis_testing
2.956324999104254
usercpu_time_millis_testing
2.9596929998660926
usercpu_time_millis_testing
2.9588889992737677
usercpu_time_millis_testing
2.9339560023800004
usercpu_time_millis_testing
2.948583001852967
usercpu_time_millis_testing
2.951102000224637
usercpu_time_millis_testing
2.933138999651419
usercpu_time_millis
21.840153996890876
usercpu_time_millis
17.60571300110314
usercpu_time_millis
17.51824500024668
usercpu_time_millis
17.667029998847283
usercpu_time_millis
17.584190998604754
usercpu_time_millis
17.621791001147358
usercpu_time_millis
17.577628001163248
usercpu_time_millis
17.522804002510384
usercpu_time_millis
17.581618998519843
usercpu_time_millis
17.641436999838334
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