119
34880
Python_3.9.18. Sklearn_0.24.0. NumPy_1.26.3. SciPy_1.10.0.
memory
null
34880
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "transformer", "step_name": "transformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
34880
verbose
false
34880
n_jobs
null
34881
remainder
"passthrough"
34881
sparse_threshold
0.3
34881
transformer_weights
null
34881
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
34881
verbose
false
34881
memory
null
34882
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
34882
verbose
false
34882
add_indicator
false
34883
copy
true
34883
fill_value
null
34883
missing_values
NaN
34883
strategy
"mean"
34883
verbose
0
34883
copy
true
34884
with_mean
true
34884
with_std
true
34884
memory
null
34885
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "customimputer", "step_name": "customimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
34885
verbose
false
34885
add_indicator
false
34886
copy
true
34886
fill_value
null
34886
missing_values
NaN
34886
strategy
"most_frequent"
34886
verbose
0
34886
categories
"auto"
34887
drop
null
34887
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
34887
handle_unknown
"ignore"
34887
sparse
true
34887
ccp_alpha
0.0
34888
class_weight
null
34888
criterion
"gini"
34888
max_depth
null
34888
max_features
null
34888
max_leaf_nodes
null
34888
min_impurity_decrease
0.0
34888
min_impurity_split
null
34888
min_samples_leaf
1
34888
min_samples_split
2
34888
min_weight_fraction_leaf
0.0
34888
random_state
62501
34888
splitter
"best"
34888
openml-python
Sklearn_0.24.0.
usercpu_time_millis_training
5.627500000002783
wall_clock_time_millis_training
5.62739372253418
usercpu_time_millis_testing
1.441800000002047
usercpu_time_millis
7.06930000000483
wall_clock_time_millis_testing
1.444101333618164
wall_clock_time_millis
7.071495056152344
predictive_accuracy
0.7233201581027668