96
34823
Python_3.8.18. Sklearn_0.24.0. NumPy_1.24.4. SciPy_1.10.1.
memory
null
34823
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"}}]
34823
verbose
false
34823
n_jobs
null
34824
remainder
"passthrough"
34824
sparse_threshold
0.3
34824
transformer_weights
null
34824
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [1, 2, 7, 10, 13, 14]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 3, 4, 5, 6, 8, 9, 11, 12]}}]
34824
verbose
false
34824
memory
null
34825
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"}}]
34825
verbose
false
34825
add_indicator
false
34826
copy
true
34826
fill_value
null
34826
missing_values
NaN
34826
strategy
"mean"
34826
verbose
0
34826
copy
true
34827
with_mean
true
34827
with_std
true
34827
memory
null
34828
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"}}]
34828
verbose
false
34828
add_indicator
false
34829
copy
true
34829
fill_value
null
34829
missing_values
NaN
34829
strategy
"most_frequent"
34829
verbose
0
34829
categories
"auto"
34830
drop
null
34830
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
34830
handle_unknown
"ignore"
34830
sparse
true
34830
ccp_alpha
0.0
34831
class_weight
null
34831
criterion
"gini"
34831
max_depth
null
34831
max_features
null
34831
max_leaf_nodes
null
34831
min_impurity_decrease
0.0
34831
min_impurity_split
null
34831
min_samples_leaf
1
34831
min_samples_split
2
34831
min_weight_fraction_leaf
0.0
34831
random_state
62501
34831
splitter
"best"
34831
openml-python
Sklearn_0.24.0.
usercpu_time_millis_training
17.522400000000715
wall_clock_time_millis_training
17.52305030822754
usercpu_time_millis_testing
6.340600000001473
usercpu_time_millis
23.863000000002188
wall_clock_time_millis_testing
6.343603134155273
wall_clock_time_millis
23.866653442382812
predictive_accuracy
0.8281938325991189