9954
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, 60, 61, 62, 63]}}, {"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
"mae"
9667
init
null
9667
learning_rate
5.866011362597404e-05
9667
loss
"deviance"
9667
max_depth
7
9667
max_features
0.24038885588724035
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.997219267139512
9667
min_impurity_split
null
9667
min_samples_leaf
7
9667
min_samples_split
6
9667
min_weight_fraction_leaf
0.24170671238244568
9667
n_estimators
88
9667
n_iter_no_change
1621
9667
presort
"auto"
9667
random_state
9083
9667
subsample
0.20211157495653675
9667
tol
0.0027504332581121138
9667
validation_fraction
0.5771065997054724
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
10100.824588000023
usercpu_time_millis_training
10003.828759000044
usercpu_time_millis_training
10068.545903000086
usercpu_time_millis_training
10008.867445000078
usercpu_time_millis_training
9997.701125000049
usercpu_time_millis_training
10066.466128000002
usercpu_time_millis_training
9981.366625999954
usercpu_time_millis_training
9972.673652999902
usercpu_time_millis_training
9991.080636999868
usercpu_time_millis_training
9997.586082999987
usercpu_time_millis_testing
8.164664000105404
usercpu_time_millis_testing
5.4708210000171675
usercpu_time_millis_testing
5.769013999952222
usercpu_time_millis_testing
5.5226920001132385
usercpu_time_millis_testing
5.722731000105341
usercpu_time_millis_testing
5.488881000019319
usercpu_time_millis_testing
8.19621300001927
usercpu_time_millis_testing
5.524319000187461
usercpu_time_millis_testing
5.734594999921683
usercpu_time_millis_testing
5.558588999974745
usercpu_time_millis
10108.989252000129
usercpu_time_millis
10009.29958000006
usercpu_time_millis
10074.314917000038
usercpu_time_millis
10014.390137000191
usercpu_time_millis
10003.423856000154
usercpu_time_millis
10071.955009000021
usercpu_time_millis
9989.562838999973
usercpu_time_millis
9978.197972000089
usercpu_time_millis
9996.81523199979
usercpu_time_millis
10003.144671999962
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625