Run
10228274

Run 10228274

Task 59 (Supervised Classification) iris Uploaded 01-06-2019 by Felix Neutatz
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  • ComplexityDriven openml-python Sklearn_0.20.3.
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Flow

sklearn.pipeline.C37669fed729167(n1=sklearn.compose._column_transformer.C37 669fed728f40(n2=sklearn.preprocessing._function_transformer.C37669fed728d42 ),c=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(23)_C1
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_state57727
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.C37669fed729167(n1=sklearn.compose._column_transformer.C37669fed728f40(n2=sklearn.preprocessing._function_transformer.C37669fed728d42),c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C37669fed729167(n1=sklearn.compose._column_transformer.C37669fed728f40(n2=sklearn.preprocessing._function_transformer.C37669fed728d42),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.C37669fed728f40(n2=sklearn.preprocessing._function_transformer.C37669fed728d42)(1)_n_jobsnull
sklearn.compose._column_transformer.C37669fed728f40(n2=sklearn.preprocessing._function_transformer.C37669fed728d42)(1)_remainder"drop"
sklearn.compose._column_transformer.C37669fed728f40(n2=sklearn.preprocessing._function_transformer.C37669fed728d42)(1)_sparse_threshold0.3
sklearn.compose._column_transformer.C37669fed728f40(n2=sklearn.preprocessing._function_transformer.C37669fed728d42)(1)_transformer_weightsnull
sklearn.compose._column_transformer.C37669fed728f40(n2=sklearn.preprocessing._function_transformer.C37669fed728d42)(1)_transformers[{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [3]}}]
sklearn.preprocessing._function_transformer.C37669fed728d42(1)_accept_sparsefalse
sklearn.preprocessing._function_transformer.C37669fed728d42(1)_check_inversetrue
sklearn.preprocessing._function_transformer.C37669fed728d42(1)_func{"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"}
sklearn.preprocessing._function_transformer.C37669fed728d42(1)_inv_kw_argsnull
sklearn.preprocessing._function_transformer.C37669fed728d42(1)_inverse_funcnull
sklearn.preprocessing._function_transformer.C37669fed728d42(1)_kw_argsnull
sklearn.preprocessing._function_transformer.C37669fed728d42(1)_pass_y"deprecated"
sklearn.preprocessing._function_transformer.C37669fed728d42(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
0.9909 ± 0.0153
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.96 ± 0.0468
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.94 ± 0.0699
Cross-validation details (10-fold Crossvalidation)
KB relative information score
113.1642 ± 0.6165
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1468 ± 0.019
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9605 ± 0.0441
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96 ± 0.0466
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.96 ± 0.0466
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3304 ± 0.0428
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2084 ± 0.0311
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.442 ± 0.0661
Cross-validation details (10-fold Crossvalidation)