Run
10228996

Run 10228996

Task 31 (Supervised Classification) credit-g Uploaded 04-07-2019 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.C3780708fbf8100(n1=sklearn.compose._column_transformer.C37 80708fbf77c8(n2=sklearn.preprocessing._function_transformer.C3780708fbf706a ),c=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(23)_C0.001
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_state20024
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.C3780708fbf8100(n1=sklearn.compose._column_transformer.C3780708fbf77c8(n2=sklearn.preprocessing._function_transformer.C3780708fbf706a),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C3780708fbf8100(n1=sklearn.compose._column_transformer.C3780708fbf77c8(n2=sklearn.preprocessing._function_transformer.C3780708fbf706a),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.C3780708fbf77c8(n2=sklearn.preprocessing._function_transformer.C3780708fbf706a)(1)_n_jobsnull
sklearn.compose._column_transformer.C3780708fbf77c8(n2=sklearn.preprocessing._function_transformer.C3780708fbf706a)(1)_remainder"drop"
sklearn.compose._column_transformer.C3780708fbf77c8(n2=sklearn.preprocessing._function_transformer.C3780708fbf706a)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C3780708fbf77c8(n2=sklearn.preprocessing._function_transformer.C3780708fbf706a)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C3780708fbf77c8(n2=sklearn.preprocessing._function_transformer.C3780708fbf706a)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [0]}}]
sklearn.preprocessing._function_transformer.C3780708fbf706a(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C3780708fbf706a(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C3780708fbf706a(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C3780708fbf706a(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C3780708fbf706a(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C3780708fbf706a(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C3780708fbf706a(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C3780708fbf706a(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
0.695 ± 0.0473
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6512 ± 0.0441
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2981 ± 0.0709
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.2661 ± 0.0145
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4808 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7407 ± 0.0323
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.637 ± 0.0442
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8813
Cross-validation details (10-fold Crossvalidation)
Recall
0.637 ± 0.0442
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1443 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4831 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0543 ± 0.0099
Cross-validation details (10-fold Crossvalidation)