14
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, 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
"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
0.00020834288502381306
9667
loss
"deviance"
9667
max_depth
17
9667
max_features
0.5892887758437023
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.4594695721583615
9667
min_impurity_split
null
9667
min_samples_leaf
19
9667
min_samples_split
12
9667
min_weight_fraction_leaf
0.09937494316395595
9667
n_estimators
425
9667
n_iter_no_change
198
9667
presort
"auto"
9667
random_state
42885
9667
subsample
0.2626284498254178
9667
tol
6.16824476583623e-05
9667
validation_fraction
0.33663478326196816
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
32763.169697002013
usercpu_time_millis_training
29395.079251000425
usercpu_time_millis_training
31012.91827300156
usercpu_time_millis_training
27158.29164099705
usercpu_time_millis_training
32985.43381199852
usercpu_time_millis_training
30216.97140499964
usercpu_time_millis_training
33205.89690899942
usercpu_time_millis_training
31502.199160997407
usercpu_time_millis_training
31209.976319998532
usercpu_time_millis_training
29837.87543500148
usercpu_time_millis_testing
43.40244800187065
usercpu_time_millis_testing
70.84888800090994
usercpu_time_millis_testing
39.14069699749234
usercpu_time_millis_testing
41.59845699905418
usercpu_time_millis_testing
65.42937899939716
usercpu_time_millis_testing
58.77866800074116
usercpu_time_millis_testing
55.99420100043062
usercpu_time_millis_testing
71.61641900165705
usercpu_time_millis_testing
61.4686589979101
usercpu_time_millis_testing
53.35980499876314
usercpu_time_millis
32806.57214500388
usercpu_time_millis
29465.928139001335
usercpu_time_millis
31052.058969999052
usercpu_time_millis
27199.890097996104
usercpu_time_millis
33050.863190997916
usercpu_time_millis
30275.75007300038
usercpu_time_millis
33261.89110999985
usercpu_time_millis
31573.815579999064
usercpu_time_millis
31271.444978996442
usercpu_time_millis
29891.235240000242
predictive_accuracy
0.64
predictive_accuracy
0.665
predictive_accuracy
0.695
predictive_accuracy
0.71
predictive_accuracy
0.71
predictive_accuracy
0.68
predictive_accuracy
0.71
predictive_accuracy
0.735
predictive_accuracy
0.72
predictive_accuracy
0.7