96
20799
Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1.
memory
null
20799
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"}}]
20799
verbose
false
20799
n_jobs
null
20801
remainder
"passthrough"
20801
sparse_threshold
0.3
20801
transformer_weights
null
20801
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]}}]
20801
verbose
false
20801
memory
null
20802
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"}}]
20802
verbose
false
20802
add_indicator
false
20803
copy
true
20803
fill_value
null
20803
missing_values
NaN
20803
strategy
"mean"
20803
verbose
0
20803
copy
true
20804
with_mean
true
20804
with_std
true
20804
memory
null
20805
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"}}]
20805
verbose
false
20805
add_indicator
false
20806
copy
true
20806
fill_value
null
20806
missing_values
NaN
20806
strategy
"most_frequent"
20806
verbose
0
20806
categories
"auto"
20807
drop
null
20807
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
20807
handle_unknown
"ignore"
20807
sparse
true
20807
ccp_alpha
0.0
20809
class_weight
null
20809
criterion
"gini"
20809
max_depth
null
20809
max_features
null
20809
max_leaf_nodes
null
20809
min_impurity_decrease
0.0
20809
min_impurity_split
null
20809
min_samples_leaf
1
20809
min_samples_split
2
20809
min_weight_fraction_leaf
0.0
20809
presort
"deprecated"
20809
random_state
62501
20809
splitter
"best"
20809
openml-python
Sklearn_0.23.1.
usercpu_time_millis_training
20.9243999999984
wall_clock_time_millis_training
20.925521850585938
usercpu_time_millis_testing
5.634000000000583
usercpu_time_millis
26.558399999998983
wall_clock_time_millis_testing
5.637645721435547
wall_clock_time_millis
26.563167572021484
predictive_accuracy
0.8281938325991189