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
0.09959542876352472
9667
loss
"deviance"
9667
max_depth
20
9667
max_features
0.6625173675367629
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.47574979235101944
9667
min_impurity_split
null
9667
min_samples_leaf
5
9667
min_samples_split
15
9667
min_weight_fraction_leaf
0.0730039901823547
9667
n_estimators
340
9667
n_iter_no_change
343
9667
presort
"auto"
9667
random_state
6315
9667
subsample
0.10681370962312176
9667
tol
7.900098958232297e-05
9667
validation_fraction
0.8742596864034523
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
2646.5521840000292
usercpu_time_millis_training
2596.2059239973314
usercpu_time_millis_training
2620.8475309977075
usercpu_time_millis_training
2586.205532999884
usercpu_time_millis_training
2609.8347879960784
usercpu_time_millis_training
2616.075213998556
usercpu_time_millis_training
2568.3703489994514
usercpu_time_millis_training
2601.4649370044935
usercpu_time_millis_training
2632.6841480040457
usercpu_time_millis_training
2596.6644739964977
usercpu_time_millis_testing
11.872479000885505
usercpu_time_millis_testing
11.948525003390387
usercpu_time_millis_testing
12.077008999767713
usercpu_time_millis_testing
11.727802993846126
usercpu_time_millis_testing
11.927114996069577
usercpu_time_millis_testing
11.853630996483844
usercpu_time_millis_testing
11.554842996702064
usercpu_time_millis_testing
12.157397999544628
usercpu_time_millis_testing
12.290505997953005
usercpu_time_millis_testing
12.076842998794746
usercpu_time_millis
2658.4246630009147
usercpu_time_millis
2608.154449000722
usercpu_time_millis
2632.924539997475
usercpu_time_millis
2597.93333599373
usercpu_time_millis
2621.761902992148
usercpu_time_millis
2627.92884499504
usercpu_time_millis
2579.9251919961534
usercpu_time_millis
2613.622335004038
usercpu_time_millis
2644.9746540019987
usercpu_time_millis
2608.7413169952924
predictive_accuracy
0.45588235294117646
predictive_accuracy
0.4526143790849673
predictive_accuracy
0.4542483660130719
predictive_accuracy
0.477124183006536
predictive_accuracy
0.4542483660130719
predictive_accuracy
0.4264705882352941
predictive_accuracy
0.45098039215686275
predictive_accuracy
0.47058823529411764
predictive_accuracy
0.4369885433715221
predictive_accuracy
0.45499181669394434