3902
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]}}, {"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
"friedman_mse"
9667
init
null
9667
learning_rate
0.0005543618838530573
9667
loss
"deviance"
9667
max_depth
25
9667
max_features
0.8064875955571246
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.005913126924878664
9667
min_impurity_split
null
9667
min_samples_leaf
11
9667
min_samples_split
20
9667
min_weight_fraction_leaf
0.022099741829878505
9667
n_estimators
920
9667
n_iter_no_change
93
9667
presort
"auto"
9667
random_state
47121
9667
subsample
0.34981790551891545
9667
tol
0.0026245800246010084
9667
validation_fraction
0.978880329358205
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
57.81897599990771
usercpu_time_millis_training
56.46818700006406
usercpu_time_millis_training
57.01037300059397
usercpu_time_millis_training
56.556252000518725
usercpu_time_millis_training
56.29230600061419
usercpu_time_millis_training
56.38083200028632
usercpu_time_millis_training
56.40862200016272
usercpu_time_millis_training
53.52589600079227
usercpu_time_millis_training
51.94557499999064
usercpu_time_millis_training
52.00537300152064
usercpu_time_millis_testing
0.8780139996815706
usercpu_time_millis_testing
0.9054279998963466
usercpu_time_millis_testing
0.8822419986245222
usercpu_time_millis_testing
0.8621830002084607
usercpu_time_millis_testing
0.8664130000397563
usercpu_time_millis_testing
0.8591139994678088
usercpu_time_millis_testing
0.8738919987081317
usercpu_time_millis_testing
0.8111339993774891
usercpu_time_millis_testing
1.0208679996139836
usercpu_time_millis_testing
0.7637689996045083
usercpu_time_millis
58.69698999958928
usercpu_time_millis
57.37361499996041
usercpu_time_millis
57.892614999218495
usercpu_time_millis
57.418435000727186
usercpu_time_millis
57.158719000653946
usercpu_time_millis
57.23994599975413
usercpu_time_millis
57.282513998870854
usercpu_time_millis
54.33703000016976
usercpu_time_millis
52.966442999604624
usercpu_time_millis
52.76914200112515
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.8767123287671232
predictive_accuracy
0.8827586206896552
predictive_accuracy
0.8827586206896552