Run
10230155

Run 10230155

Task 3913 (Supervised Classification) kc2 Uploaded 16-07-2019 by Felix Neutatz
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • ComplexityDriven openml-python Sklearn_0.20.3.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.C3789deeceffd9f(n1=sklearn.compose._column_transformer.C58 dc97e17ff5f(n2=sklearn.preprocessing._function_transformer.C58dc97e17ff0a), c=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(23)_C0.01
sklearn.linear_model.logistic.LogisticRegression(23)_class_weight"balanced"
sklearn.linear_model.logistic.LogisticRegression(23)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(23)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(23)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(23)_max_iter10000
sklearn.linear_model.logistic.LogisticRegression(23)_multi_class"auto"
sklearn.linear_model.logistic.LogisticRegression(23)_n_jobsnull
sklearn.linear_model.logistic.LogisticRegression(23)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(23)_random_state19299
sklearn.linear_model.logistic.LogisticRegression(23)_solver"lbfgs"
sklearn.linear_model.logistic.LogisticRegression(23)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(23)_verbose0
sklearn.linear_model.logistic.LogisticRegression(23)_warm_startfalse
sklearn.pipeline.C3789deeceffd9f(n1=sklearn.compose._column_transformer.C58dc97e17ff5f(n2=sklearn.preprocessing._function_transformer.C58dc97e17ff0a),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C3789deeceffd9f(n1=sklearn.compose._column_transformer.C58dc97e17ff5f(n2=sklearn.preprocessing._function_transformer.C58dc97e17ff0a),c=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n1", "step_name": "n1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]
sklearn.compose._column_transformer.C58dc97e17ff5f(n2=sklearn.preprocessing._function_transformer.C58dc97e17ff0a)(1)_n_jobsnull
sklearn.compose._column_transformer.C58dc97e17ff5f(n2=sklearn.preprocessing._function_transformer.C58dc97e17ff0a)(1)_remainder"drop"
sklearn.compose._column_transformer.C58dc97e17ff5f(n2=sklearn.preprocessing._function_transformer.C58dc97e17ff0a)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C58dc97e17ff5f(n2=sklearn.preprocessing._function_transformer.C58dc97e17ff0a)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C58dc97e17ff5f(n2=sklearn.preprocessing._function_transformer.C58dc97e17ff0a)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [17]}}]
sklearn.preprocessing._function_transformer.C58dc97e17ff0a(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C58dc97e17ff0a(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C58dc97e17ff0a(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C58dc97e17ff0a(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C58dc97e17ff0a(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C58dc97e17ff0a(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C58dc97e17ff0a(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C58dc97e17ff0a(1)_validatefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8481 ± 0.0959
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8201 ± 0.053
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4961 ± 0.1358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.067 ± 0.1705
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3135 ± 0.0387
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3266 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
Number of instances
522
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8458 ± 0.0498
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8084 ± 0.0583
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7318 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
Recall
0.8084 ± 0.0583
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9599 ± 0.1157
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4037 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3831 ± 0.0502
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9489 ± 0.1209
Cross-validation details (10-fold Crossvalidation)