165
3229
Test Test
6
Supervised Classification
14170
sklearn.pipeline.Pipeline(transform=sklearn.compose._column_transformer.ColumnTransformer(cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,truncatedsvd=sklearn.decomposition._truncated_svd.TruncatedSVD),cont=sklearn.impute._base.SimpleImputer),estimator=sklearn.ensemble._forest.RandomForestClassifier)(1)
155
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
10
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
50
44
n_jobs
null
44
oob_score
false
44
random_state
54088
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
14170
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "transform", "step_name": "transform"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
14170
verbose
false
14170
n_jobs
null
14171
remainder
"drop"
14171
sparse_threshold
0.3
14171
transformer_weights
null
14171
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cont", "step_name": "cont", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}]
14171
verbose
false
14171
verbose_feature_names_out
true
14171
memory
null
14172
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "truncatedsvd", "step_name": "truncatedsvd"}}]
14172
verbose
false
14172
algorithm
"randomized"
14173
n_components
2
14173
n_iter
5
14173
n_oversamples
10
14173
power_iteration_normalizer
"auto"
14173
random_state
19717
14173
tol
0.0
14173
openml-python
Sklearn_1.3.2.
1
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
891
description
https://test.openml.org/data/download/891/description.xml
-1
892
predictions
https://test.openml.org/data/download/892/predictions.arff
area_under_roc_curve
0.9965249860131236 [0.998288,0.994354,0.99615,0.0,1,1]
average_cost
0
f_measure
0.9359616635351931 [0.4,0.763636,0.964286,0.0,0.980392,0.969697]
kappa
0.8595864609202779
kb_relative_information_score
0.8258593484215621
mean_absolute_error
0.03857401660341655
mean_prior_absolute_error
0.1410223830024713
weighted_recall
0.9425675675675675 [0.25,0.636364,0.995392,0.0,1,0.941176]
number_of_instances
296 [4,33,217,0,25,17]
precision
0.944079569079569 [1,0.954545,0.935065,0.0,0.961538,1]
predictive_accuracy
0.9425675675675675
prior_entropy
1.3089517057560913
relative_absolute_error
0.273531164217673
root_mean_prior_squared_error
0.2709125098701948
root_mean_squared_error
0.11311387636155305
root_relative_squared_error
0.4175291735909521
total_cost
0
area_under_roc_curve
0.9965249860131236 [0.998288,0.994354,0.99615,0.0,1,1]
average_cost
0
f_measure
0.9359616635351931 [0.4,0.763636,0.964286,0.0,0.980392,0.969697]
kappa
0.8595864609202779
kb_relative_information_score
0.8258593484215621
mean_absolute_error
0.03857401660341655
mean_prior_absolute_error
0.1410223830024713
weighted_recall
0.9425675675675675 [0.25,0.636364,0.995392,0.0,1,0.941176]
number_of_instances
296 [4,33,217,0,25,17]
precision
0.944079569079569 [1,0.954545,0.935065,0.0,0.961538,1]
predictive_accuracy
0.9425675675675675
prior_entropy
1.3089517057560913
relative_absolute_error
0.273531164217673
root_mean_prior_squared_error
0.2709125098701948
root_mean_squared_error
0.11311387636155305
root_relative_squared_error
0.4175291735909521
total_cost
0
usercpu_time_millis
527.6545999999983
usercpu_time_millis_testing
14.743000000002837
usercpu_time_millis_training
512.9115999999954
wall_clock_time_millis
171.62251472473145
wall_clock_time_millis_training
156.8765640258789
wall_clock_time_millis_testing
14.745950698852539