9985
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]}}, {"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
0.011293783728065913
9667
loss
"deviance"
9667
max_depth
10
9667
max_features
0.8953369055605901
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.8058522507875686
9667
min_impurity_split
null
9667
min_samples_leaf
15
9667
min_samples_split
3
9667
min_weight_fraction_leaf
0.270001364029615
9667
n_estimators
1485
9667
n_iter_no_change
132
9667
presort
"auto"
9667
random_state
8308
9667
subsample
0.7901795408346641
9667
tol
4.5512155344723034e-05
9667
validation_fraction
0.5385728254655806
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
28431.056487002934
usercpu_time_millis_training
28273.065454995958
usercpu_time_millis_training
28432.643446001748
usercpu_time_millis_training
28324.634908000007
usercpu_time_millis_training
28223.874089002493
usercpu_time_millis_training
28164.80188800051
usercpu_time_millis_training
28109.936619999644
usercpu_time_millis_training
28166.436503001023
usercpu_time_millis_training
28199.466276993917
usercpu_time_millis_training
28146.217929999693
usercpu_time_millis_testing
32.73256000102265
usercpu_time_millis_testing
33.668640004179906
usercpu_time_millis_testing
32.61380900221411
usercpu_time_millis_testing
33.616856002481654
usercpu_time_millis_testing
32.35429200140061
usercpu_time_millis_testing
33.36115700221853
usercpu_time_millis_testing
32.29292000469286
usercpu_time_millis_testing
33.70395500678569
usercpu_time_millis_testing
31.94420000363607
usercpu_time_millis_testing
31.46155500144232
usercpu_time_millis
28463.789047003957
usercpu_time_millis
28306.734095000138
usercpu_time_millis
28465.257255003962
usercpu_time_millis
28358.25176400249
usercpu_time_millis
28256.228381003893
usercpu_time_millis
28198.16304500273
usercpu_time_millis
28142.229540004337
usercpu_time_millis
28200.14045800781
usercpu_time_millis
28231.410476997553
usercpu_time_millis
28177.679485001136
predictive_accuracy
0.5016339869281046
predictive_accuracy
0.48366013071895425
predictive_accuracy
0.5179738562091504
predictive_accuracy
0.4950980392156863
predictive_accuracy
0.4950980392156863
predictive_accuracy
0.5212418300653595
predictive_accuracy
0.5098039215686274
predictive_accuracy
0.4950980392156863
predictive_accuracy
0.5270049099836334
predictive_accuracy
0.5188216039279869