3962
3229
Test Test
96
Supervised Classification
14174
sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer),Classifier=sklearn.ensemble._forest.RandomForestClassifier)(1)
3209
Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1.
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
1472
44
verbose
0
44
warm_start
false
44
add_indicator
false
80
copy
true
80
fill_value
null
80
keep_empty_features
false
80
missing_values
NaN
80
strategy
"median"
80
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
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
openml-python
Sklearn_1.3.2.
16
credit-a
https://www.openml.org/data/download/29/dataset_29_credit-a.arff
-1
9963
description
https://test.openml.org/data/download/9963/description.xml
-1
9964
predictions
https://test.openml.org/data/download/9964/predictions.arff
area_under_roc_curve
0.94017260146167 [0.940173,0.940173]
average_cost
0
f_measure
0.8943141835440179 [0.891892,0.896552]
kappa
0.7885093167701862
kb_relative_information_score
0.658030647376682
mean_absolute_error
0.1841409691629958
mean_prior_absolute_error
0.497822820911105
weighted_recall
0.8942731277533039 [0.908257,0.881356]
number_of_instances
227 [109,118]
precision
0.8949105640011298 [0.876106,0.912281]
predictive_accuracy
0.8942731277533039
prior_entropy
1.0024462539766308
relative_absolute_error
0.36989258312020495
root_mean_prior_squared_error
0.5008375893008056
root_mean_squared_error
0.2978631681835678
root_relative_squared_error
0.5947300573014093
total_cost
0
unweighted_recall
0.8948064064686674 [0.908257,0.881356]
area_under_roc_curve
0.94017260146167 [0.940173,0.940173]
average_cost
0
f_measure
0.8943141835440179 [0.891892,0.896552]
kappa
0.7885093167701862
kb_relative_information_score
0.658030647376682
mean_absolute_error
0.1841409691629958
mean_prior_absolute_error
0.497822820911105
weighted_recall
0.8942731277533039 [0.908257,0.881356]
number_of_instances
227 [109,118]
precision
0.8949105640011298 [0.876106,0.912281]
predictive_accuracy
0.8942731277533039
prior_entropy
1.0024462539766308
relative_absolute_error
0.36989258312020495
root_mean_prior_squared_error
0.5008375893008056
root_mean_squared_error
0.2978631681835678
root_relative_squared_error
0.5947300573014093
total_cost
0
usercpu_time_millis
26.54160000000161
usercpu_time_millis_testing
5.279399999999157
usercpu_time_millis_training
21.26220000000245
wall_clock_time_millis
26.544570922851562
wall_clock_time_millis_training
21.262168884277344
wall_clock_time_millis_testing
5.282402038574219
unweighted_recall
0.8948064064686674 [0.908257,0.881356]