14
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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, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]}}, {"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
"mae"
9667
init
null
9667
learning_rate
0.007881443264563156
9667
loss
"deviance"
9667
max_depth
12
9667
max_features
0.23402152314765912
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.36718761973454317
9667
min_impurity_split
null
9667
min_samples_leaf
13
9667
min_samples_split
2
9667
min_weight_fraction_leaf
0.021701149813438125
9667
n_estimators
95
9667
n_iter_no_change
1860
9667
presort
"auto"
9667
random_state
1360
9667
subsample
0.9831350039712837
9667
tol
0.0007975288160231749
9667
validation_fraction
0.7696562772494285
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
7287.371515000018
usercpu_time_millis_training
7222.249783000024
usercpu_time_millis_training
7200.162116000001
usercpu_time_millis_training
7306.951523000009
usercpu_time_millis_training
7299.721979999987
usercpu_time_millis_training
7268.278522000002
usercpu_time_millis_training
7349.298398999991
usercpu_time_millis_training
7267.122335999971
usercpu_time_millis_training
7298.555237999949
usercpu_time_millis_training
7294.681730999969
usercpu_time_millis_testing
2.7248639999868374
usercpu_time_millis_testing
1.9778300000155014
usercpu_time_millis_testing
2.0877359999929013
usercpu_time_millis_testing
2.041418000004569
usercpu_time_millis_testing
2.1454200000050605
usercpu_time_millis_testing
2.0193369999788047
usercpu_time_millis_testing
2.172721999983196
usercpu_time_millis_testing
2.1285469999838824
usercpu_time_millis_testing
2.8541269999777796
usercpu_time_millis_testing
2.043436000008114
usercpu_time_millis
7290.096379000005
usercpu_time_millis
7224.227613000039
usercpu_time_millis
7202.2498519999945
usercpu_time_millis
7308.992941000013
usercpu_time_millis
7301.867399999992
usercpu_time_millis
7270.297858999981
usercpu_time_millis
7351.471120999974
usercpu_time_millis
7269.250882999955
usercpu_time_millis
7301.409364999927
usercpu_time_millis
7296.725166999977
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1