96
30944
Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1.
memory
null
30944
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"}}]
30944
verbose
false
30944
n_jobs
null
30945
remainder
"passthrough"
30945
sparse_threshold
0.3
30945
transformer_weights
null
30945
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]}}]
30945
verbose
false
30945
memory
null
30946
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"}}]
30946
verbose
false
30946
add_indicator
false
30947
copy
true
30947
fill_value
null
30947
missing_values
NaN
30947
strategy
"mean"
30947
verbose
0
30947
copy
true
30948
with_mean
true
30948
with_std
true
30948
memory
null
30949
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"}}]
30949
verbose
false
30949
add_indicator
false
30950
copy
true
30950
fill_value
null
30950
missing_values
NaN
30950
strategy
"most_frequent"
30950
verbose
0
30950
categories
"auto"
30951
drop
null
30951
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
30951
handle_unknown
"ignore"
30951
sparse
true
30951
ccp_alpha
0.0
30952
class_weight
null
30952
criterion
"gini"
30952
max_depth
null
30952
max_features
null
30952
max_leaf_nodes
null
30952
min_impurity_decrease
0.0
30952
min_impurity_split
null
30952
min_samples_leaf
1
30952
min_samples_split
2
30952
min_weight_fraction_leaf
0.0
30952
presort
"deprecated"
30952
random_state
62501
30952
splitter
"best"
30952
openml-python
Sklearn_0.23.1.
usercpu_time_millis_training
20.81929999999943
wall_clock_time_millis_training
20.81894874572754
usercpu_time_millis_testing
5.5456999999989876
usercpu_time_millis
26.364999999998417
wall_clock_time_millis_testing
5.5484771728515625
wall_clock_time_millis
26.3674259185791
predictive_accuracy
0.8281938325991189