3512
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, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]}}, {"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
"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
0.0008784028920736901
9667
loss
"deviance"
9667
max_depth
28
9667
max_features
0.8452997835173724
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.2378624299116736
9667
min_impurity_split
null
9667
min_samples_leaf
12
9667
min_samples_split
14
9667
min_weight_fraction_leaf
0.3639497971250596
9667
n_estimators
78
9667
n_iter_no_change
1289
9667
presort
"auto"
9667
random_state
26480
9667
subsample
0.7429750567435334
9667
tol
1.4176201870950575e-05
9667
validation_fraction
0.14325208839182402
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
537.7629729991895
usercpu_time_millis_training
504.6118310019665
usercpu_time_millis_training
494.61609100035275
usercpu_time_millis_training
493.81243999960134
usercpu_time_millis_training
494.1700730014418
usercpu_time_millis_training
493.88140000155545
usercpu_time_millis_training
494.0881839975191
usercpu_time_millis_training
494.5094489994517
usercpu_time_millis_training
494.07583300126134
usercpu_time_millis_training
495.4526670007908
usercpu_time_millis_testing
1.2472870002966374
usercpu_time_millis_testing
1.1834289980470203
usercpu_time_millis_testing
1.1477120024210308
usercpu_time_millis_testing
1.1583570012589917
usercpu_time_millis_testing
1.1396299996704329
usercpu_time_millis_testing
1.1837220008601435
usercpu_time_millis_testing
1.1573940028029028
usercpu_time_millis_testing
1.1316010022710543
usercpu_time_millis_testing
1.3275989986141212
usercpu_time_millis_testing
1.1909419990843162
usercpu_time_millis
539.0102599994862
usercpu_time_millis
505.7952600000135
usercpu_time_millis
495.7638030027738
usercpu_time_millis
494.97079700086033
usercpu_time_millis
495.3097030011122
usercpu_time_millis
495.0651220024156
usercpu_time_millis
495.245578000322
usercpu_time_millis
495.64105000172276
usercpu_time_millis
495.40343199987547
usercpu_time_millis
496.64360899987514
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666