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
"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
"mse"
9667
init
null
9667
learning_rate
0.09268519786989839
9667
loss
"deviance"
9667
max_depth
14
9667
max_features
0.6778079492385367
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5823986599670252
9667
min_impurity_split
null
9667
min_samples_leaf
16
9667
min_samples_split
6
9667
min_weight_fraction_leaf
0.14157354511836373
9667
n_estimators
927
9667
n_iter_no_change
857
9667
presort
"auto"
9667
random_state
40897
9667
subsample
0.5475934955627797
9667
tol
0.04438080371452147
9667
validation_fraction
0.7134250724395101
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
71553.28197000017
usercpu_time_millis_training
71553.56326099992
usercpu_time_millis_training
71786.20371200031
usercpu_time_millis_training
71847.09219999968
usercpu_time_millis_training
71662.76107399972
usercpu_time_millis_training
71938.3661490001
usercpu_time_millis_training
71678.94567299937
usercpu_time_millis_training
72110.9506140001
usercpu_time_millis_training
71827.23665699996
usercpu_time_millis_training
71897.09272900017
usercpu_time_millis_testing
41.33929799991165
usercpu_time_millis_testing
41.68648199993186
usercpu_time_millis_testing
52.28038400036894
usercpu_time_millis_testing
52.6711089996752
usercpu_time_millis_testing
44.6065810001528
usercpu_time_millis_testing
44.51348900056473
usercpu_time_millis_testing
43.793629999527184
usercpu_time_millis_testing
55.776748999960546
usercpu_time_millis_testing
52.84734799988655
usercpu_time_millis_testing
45.54408200056059
usercpu_time_millis
71594.62126800008
usercpu_time_millis
71595.24974299985
usercpu_time_millis
71838.48409600067
usercpu_time_millis
71899.76330899936
usercpu_time_millis
71707.36765499986
usercpu_time_millis
71982.87963800065
usercpu_time_millis
71722.7393029989
usercpu_time_millis
72166.72736300007
usercpu_time_millis
71880.08400499984
usercpu_time_millis
71942.63681100073
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
predictive_accuracy
0.0125
predictive_accuracy
0.0125