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
"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
0.0025374920592478685
9667
loss
"deviance"
9667
max_depth
10
9667
max_features
0.31471453055490206
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.2667588548301979
9667
min_impurity_split
null
9667
min_samples_leaf
11
9667
min_samples_split
19
9667
min_weight_fraction_leaf
0.19544885731626754
9667
n_estimators
72
9667
n_iter_no_change
921
9667
presort
"auto"
9667
random_state
59737
9667
subsample
0.8026165576874125
9667
tol
1.2376589313240293e-05
9667
validation_fraction
0.24576894107915148
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
10558.18039600001
usercpu_time_millis_training
10448.413789000027
usercpu_time_millis_training
10528.602556999998
usercpu_time_millis_training
10477.55224599996
usercpu_time_millis_training
10469.499093000082
usercpu_time_millis_training
10500.504340000021
usercpu_time_millis_training
10514.80553700003
usercpu_time_millis_training
10465.810930999964
usercpu_time_millis_training
10476.459673000023
usercpu_time_millis_training
10509.069637000039
usercpu_time_millis_testing
8.554676000017025
usercpu_time_millis_testing
7.653441999991628
usercpu_time_millis_testing
7.994366000048103
usercpu_time_millis_testing
7.659171000000242
usercpu_time_millis_testing
7.914326999980403
usercpu_time_millis_testing
9.08012399997915
usercpu_time_millis_testing
7.973913999990145
usercpu_time_millis_testing
7.836838999992324
usercpu_time_millis_testing
7.999469999958819
usercpu_time_millis_testing
7.789215000002514
usercpu_time_millis
10566.735072000029
usercpu_time_millis
10456.06723100002
usercpu_time_millis
10536.596923000046
usercpu_time_millis
10485.211416999959
usercpu_time_millis
10477.413420000063
usercpu_time_millis
10509.584464
usercpu_time_millis
10522.77945100002
usercpu_time_millis
10473.647769999956
usercpu_time_millis
10484.459142999982
usercpu_time_millis
10516.858852000041
predictive_accuracy
0.18125
predictive_accuracy
0.19375
predictive_accuracy
0.23125
predictive_accuracy
0.18125
predictive_accuracy
0.19375
predictive_accuracy
0.18125
predictive_accuracy
0.20625
predictive_accuracy
0.225
predictive_accuracy
0.18125
predictive_accuracy
0.2