96
14174
Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1.
memory
null
14174
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Preprocessing", "step_name": "Preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "Classifier", "step_name": "Classifier"}}]
14174
verbose
false
14174
n_jobs
null
14175
remainder
"drop"
14175
sparse_threshold
0.3
14175
transformer_weights
null
14175
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "categorical", "step_name": "categorical", "argument_1": [0, 3, 4, 5, 6, 8, 9, 11, 12]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "continuous", "step_name": "continuous", "argument_1": [1, 2, 7, 10, 13, 14]}}]
14175
verbose
false
14175
verbose_feature_names_out
true
14175
categories
"auto"
118
drop
null
118
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
118
feature_name_combiner
"concat"
118
handle_unknown
"ignore"
118
max_categories
null
118
min_frequency
null
118
sparse
false
118
sparse_output
true
118
add_indicator
false
80
copy
true
80
fill_value
null
80
keep_empty_features
false
80
missing_values
NaN
80
strategy
"median"
80
bootstrap
true
44
ccp_alpha
0.0
44
class_weight
null
44
criterion
"gini"
44
max_depth
null
44
max_features
"sqrt"
44
max_leaf_nodes
null
44
max_samples
null
44
min_impurity_decrease
0.0
44
min_samples_leaf
1
44
min_samples_split
2
44
min_weight_fraction_leaf
0.0
44
n_estimators
10
44
n_jobs
null
44
oob_score
false
44
random_state
35051
44
verbose
0
44
warm_start
false
44
openml-python
Sklearn_1.3.2.
usercpu_time_millis_training
20.985900000006552
wall_clock_time_millis_training
20.984172821044922
usercpu_time_millis_testing
5.1603000000000065
usercpu_time_millis
26.14620000000656
wall_clock_time_millis_testing
5.162477493286133
wall_clock_time_millis
26.146650314331055
predictive_accuracy
0.8898678414096917