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
"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
0.0001269023564358606
9667
loss
"deviance"
9667
max_depth
24
9667
max_features
0.8578633782513895
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.09319213355549938
9667
min_impurity_split
null
9667
min_samples_leaf
12
9667
min_samples_split
8
9667
min_weight_fraction_leaf
0.052444855755137465
9667
n_estimators
420
9667
n_iter_no_change
10
9667
presort
"auto"
9667
random_state
1218
9667
subsample
0.9933201662060828
9667
tol
0.011215728120203125
9667
validation_fraction
0.030895084932826666
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
250474.26333500334
usercpu_time_millis_training
255160.27318799752
usercpu_time_millis_training
250184.22398000257
usercpu_time_millis_training
258370.09293099982
usercpu_time_millis_training
254289.35987799923
usercpu_time_millis_training
254304.08611099847
usercpu_time_millis_training
266272.00003000326
usercpu_time_millis_training
283200.32519000233
usercpu_time_millis_training
285893.32548799575
usercpu_time_millis_training
277226.4040630034
usercpu_time_millis_testing
127.95637999806786
usercpu_time_millis_testing
150.34481000475353
usercpu_time_millis_testing
90.88118599902373
usercpu_time_millis_testing
103.97519900288898
usercpu_time_millis_testing
86.9760560017312
usercpu_time_millis_testing
183.53633700462524
usercpu_time_millis_testing
124.42717800149694
usercpu_time_millis_testing
154.1061159950914
usercpu_time_millis_testing
137.176667994936
usercpu_time_millis_testing
150.137969001662
usercpu_time_millis
250602.2197150014
usercpu_time_millis
255310.61799800227
usercpu_time_millis
250275.1051660016
usercpu_time_millis
258474.0681300027
usercpu_time_millis
254376.33593400096
usercpu_time_millis
254487.6224480031
usercpu_time_millis
266396.42720800475
usercpu_time_millis
283354.4313059974
usercpu_time_millis
286030.5021559907
usercpu_time_millis
277376.5420320051
predictive_accuracy
0.68
predictive_accuracy
0.695
predictive_accuracy
0.745
predictive_accuracy
0.75
predictive_accuracy
0.705
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.725
predictive_accuracy
0.725
predictive_accuracy
0.68