3512
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]}}, {"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
0.029619741175365713
9667
loss
"deviance"
9667
max_depth
6
9667
max_features
0.3699044084073926
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.2704069389809406
9667
min_impurity_split
null
9667
min_samples_leaf
15
9667
min_samples_split
14
9667
min_weight_fraction_leaf
0.2519073370996283
9667
n_estimators
120
9667
n_iter_no_change
842
9667
presort
"auto"
9667
random_state
47763
9667
subsample
0.2514354258935054
9667
tol
0.00018911899386847978
9667
validation_fraction
0.4747387166367767
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
793.7338429983356
usercpu_time_millis_training
731.0560519981664
usercpu_time_millis_training
729.1447729949141
usercpu_time_millis_training
730.9448770029121
usercpu_time_millis_training
752.4381289986195
usercpu_time_millis_training
752.2928059988772
usercpu_time_millis_training
751.4889200028847
usercpu_time_millis_training
753.846984996926
usercpu_time_millis_training
751.8832929999917
usercpu_time_millis_training
730.3429409948876
usercpu_time_millis_testing
1.3826669965055771
usercpu_time_millis_testing
1.2782819976564497
usercpu_time_millis_testing
1.3012050039833412
usercpu_time_millis_testing
1.2339530003373511
usercpu_time_millis_testing
1.3252010030555539
usercpu_time_millis_testing
1.3355810006032698
usercpu_time_millis_testing
1.2920700028189458
usercpu_time_millis_testing
1.2281470044399612
usercpu_time_millis_testing
1.3525120011763647
usercpu_time_millis_testing
1.2800699987565167
usercpu_time_millis
795.1165099948412
usercpu_time_millis
732.3343339958228
usercpu_time_millis
730.4459779988974
usercpu_time_millis
732.1788300032495
usercpu_time_millis
753.7633300016751
usercpu_time_millis
753.6283869994804
usercpu_time_millis
752.7809900057036
usercpu_time_millis
755.075132001366
usercpu_time_millis
753.235805001168
usercpu_time_millis
731.6230109936441
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.31666666666666665
predictive_accuracy
0.31666666666666665
predictive_accuracy
0.31666666666666665
predictive_accuracy
0.3333333333333333
predictive_accuracy
0.3333333333333333
predictive_accuracy
0.16666666666666666