Run
10230166

Run 10230166

Task 3913 (Supervised Classification) kc2 Uploaded 16-07-2019 by Felix Neutatz
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  • openml-python RawFeatureBaseline Sklearn_0.20.3.
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Flow

sklearn.pipeline.C58dcaf0eeb22b(n9=sklearn.impute.SimpleImputer,n10=sklearn .preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.Logistic Regression)(1)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(10)_copytrue
sklearn.impute.SimpleImputer(10)_fill_valuenull
sklearn.impute.SimpleImputer(10)_missing_valuesNaN
sklearn.impute.SimpleImputer(10)_strategy"mean"
sklearn.impute.SimpleImputer(10)_verbose0
sklearn.preprocessing.data.StandardScaler(25)_copytrue
sklearn.preprocessing.data.StandardScaler(25)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(25)_with_stdtrue
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_state2184
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.C58dcaf0eeb22b(n9=sklearn.impute.SimpleImputer,n10=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression)(1)_memorynull
sklearn.pipeline.C58dcaf0eeb22b(n9=sklearn.impute.SimpleImputer,n10=sklearn.preprocessing.data.StandardScaler,c=sklearn.linear_model.logistic.LogisticRegression)(1)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "n9", "step_name": "n9"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n10", "step_name": "n10"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}]

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
0.8346 ± 0.0873
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8048 ± 0.0599
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4588 ± 0.1449
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0877 ± 0.1736
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3136 ± 0.04
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
0.8347 ± 0.0506
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7912 ± 0.067
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7318 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
Recall
0.7912 ± 0.067
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9601 ± 0.1196
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
0.3896 ± 0.0499
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9651 ± 0.1197
Cross-validation details (10-fold Crossvalidation)