9954
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]}}, {"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
"mse"
9667
init
null
9667
learning_rate
0.02807631246699195
9667
loss
"deviance"
9667
max_depth
27
9667
max_features
0.5719419887747507
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.9566864234770778
9667
min_impurity_split
null
9667
min_samples_leaf
19
9667
min_samples_split
2
9667
min_weight_fraction_leaf
0.40789994172144933
9667
n_estimators
836
9667
n_iter_no_change
569
9667
presort
"auto"
9667
random_state
8190
9667
subsample
0.7310219841136516
9667
tol
0.03183945477757413
9667
validation_fraction
0.5349478275121985
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
88826.61680700001
usercpu_time_millis_training
88757.19990899999
usercpu_time_millis_training
89118.639314
usercpu_time_millis_training
89128.195387
usercpu_time_millis_training
78644.23368499996
usercpu_time_millis_training
79120.32594599998
usercpu_time_millis_training
79471.2563669999
usercpu_time_millis_training
79042.07890399994
usercpu_time_millis_training
89441.84468799995
usercpu_time_millis_training
89127.39823300001
usercpu_time_millis_testing
59.160286000008
usercpu_time_millis_testing
58.25677800001472
usercpu_time_millis_testing
46.19112299997141
usercpu_time_millis_testing
59.75927299999739
usercpu_time_millis_testing
49.99847199997021
usercpu_time_millis_testing
41.587093999964964
usercpu_time_millis_testing
40.0662449999345
usercpu_time_millis_testing
47.44310699993548
usercpu_time_millis_testing
45.39707400010684
usercpu_time_millis_testing
47.04126100000394
usercpu_time_millis
88885.77709300003
usercpu_time_millis
88815.456687
usercpu_time_millis
89164.83043699997
usercpu_time_millis
89187.95466
usercpu_time_millis
78694.23215699993
usercpu_time_millis
79161.91303999994
usercpu_time_millis
79511.32261199984
usercpu_time_millis
79089.52201099988
usercpu_time_millis
89487.24176200006
usercpu_time_millis
89174.43949400002
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625