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
"mean"
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
"mae"
9667
init
null
9667
learning_rate
0.0008357194899761836
9667
loss
"deviance"
9667
max_depth
16
9667
max_features
0.006852728065538272
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.768660084801476
9667
min_impurity_split
null
9667
min_samples_leaf
8
9667
min_samples_split
13
9667
min_weight_fraction_leaf
0.3891438029173929
9667
n_estimators
665
9667
n_iter_no_change
1453
9667
presort
"auto"
9667
random_state
6227
9667
subsample
0.7514372258826191
9667
tol
0.06208985773916973
9667
validation_fraction
0.7571609000197532
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
6051.542846999993
usercpu_time_millis_training
5984.207819999994
usercpu_time_millis_training
5989.880386999999
usercpu_time_millis_training
6047.584712999992
usercpu_time_millis_training
6003.096891999974
usercpu_time_millis_training
6007.272123000007
usercpu_time_millis_training
6006.093574000005
usercpu_time_millis_training
6004.35970800001
usercpu_time_millis_training
6001.484716999983
usercpu_time_millis_training
6060.876108000002
usercpu_time_millis_testing
5.325824999999895
usercpu_time_millis_testing
5.112580000002254
usercpu_time_millis_testing
5.2777270000206045
usercpu_time_millis_testing
5.089110999989543
usercpu_time_millis_testing
5.355012999984865
usercpu_time_millis_testing
6.116802999997617
usercpu_time_millis_testing
5.332032000012532
usercpu_time_millis_testing
5.219130000000405
usercpu_time_millis_testing
5.355105999996113
usercpu_time_millis_testing
5.249898999977631
usercpu_time_millis
6056.868671999993
usercpu_time_millis
5989.320399999997
usercpu_time_millis
5995.15811400002
usercpu_time_millis
6052.673823999981
usercpu_time_millis
6008.451904999959
usercpu_time_millis
6013.388926000005
usercpu_time_millis
6011.425606000017
usercpu_time_millis
6009.57883800001
usercpu_time_millis
6006.839822999979
usercpu_time_millis
6066.12600699998
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1