Run
10155023

Run 10155023

Task 37 (Supervised Classification) diabetes Uploaded 23-03-2019 by Stephanie Kamgnia
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Flow

sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.cl asses.SVC)(4)Automatically created scikit-learn flow.
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_cv"warn"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_error_score"raise-deprecating"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_fit_paramsnull
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_iid"warn"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_n_iter20
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_n_jobsnull
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_param_distributions{"C": [0.01, 0.1, 1], "gamma": [0.01, 0.1, 1]}
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_pre_dispatch"2*n_jobs"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_random_state45105
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_refittrue
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_return_train_score"warn"
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_scoringnull
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.svm.classes.SVC)(4)_verbose0
sklearn.svm.classes.SVC(28)_C1.0
sklearn.svm.classes.SVC(28)_cache_size200
sklearn.svm.classes.SVC(28)_class_weightnull
sklearn.svm.classes.SVC(28)_coef00.0
sklearn.svm.classes.SVC(28)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(28)_degree3
sklearn.svm.classes.SVC(28)_gamma"auto_deprecated"
sklearn.svm.classes.SVC(28)_kernel"rbf"
sklearn.svm.classes.SVC(28)_max_iter-1
sklearn.svm.classes.SVC(28)_probabilityfalse
sklearn.svm.classes.SVC(28)_random_state26675
sklearn.svm.classes.SVC(28)_shrinkingtrue
sklearn.svm.classes.SVC(28)_tol0.001
sklearn.svm.classes.SVC(28)_verbosefalse

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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.5239 ± 0.0188
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5626 ± 0.0223
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0595 ± 0.0461
Cross-validation details (10-fold Crossvalidation)
KB relative information score
163.2592 ± 2.6515
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3438 ± 0.0151
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6224 ± 0.076
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6563 ± 0.0151
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.6563 ± 0.0151
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7563 ± 0.0331
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5863 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2301 ± 0.0267
Cross-validation details (10-fold Crossvalidation)