96
30019
Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1.
memory
null
30019
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"}}]
30019
verbose
false
30019
n_jobs
null
30020
remainder
"passthrough"
30020
sparse_threshold
0.3
30020
transformer_weights
null
30020
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]}}]
30020
verbose
false
30020
memory
null
30021
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"}}]
30021
verbose
false
30021
add_indicator
false
30022
copy
true
30022
fill_value
null
30022
missing_values
NaN
30022
strategy
"mean"
30022
verbose
0
30022
copy
true
30023
with_mean
true
30023
with_std
true
30023
memory
null
30024
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"}}]
30024
verbose
false
30024
add_indicator
false
30025
copy
true
30025
fill_value
null
30025
missing_values
NaN
30025
strategy
"most_frequent"
30025
verbose
0
30025
categories
"auto"
30026
drop
null
30026
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
30026
handle_unknown
"ignore"
30026
sparse
true
30026
ccp_alpha
0.0
30027
class_weight
null
30027
criterion
"gini"
30027
max_depth
null
30027
max_features
null
30027
max_leaf_nodes
null
30027
min_impurity_decrease
0.0
30027
min_impurity_split
null
30027
min_samples_leaf
1
30027
min_samples_split
2
30027
min_weight_fraction_leaf
0.0
30027
presort
"deprecated"
30027
random_state
62501
30027
splitter
"best"
30027
openml-python
Sklearn_0.23.1.
usercpu_time_millis_training
20.701999999999998
wall_clock_time_millis_training
20.701169967651367
usercpu_time_millis_testing
5.647599999999642
usercpu_time_millis
26.34959999999964
wall_clock_time_millis_testing
5.650520324707031
wall_clock_time_millis
26.3516902923584
predictive_accuracy
0.8281938325991189