Run
10229153

Run 10229153

Task 10101 (Supervised Classification) blood-transfusion-service-center Uploaded 10-07-2019 by Jan Ernsting
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Flow

sklearn.svm.classes.SVC(31)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(31)_C1.0
sklearn.svm.classes.SVC(31)_cache_size200
sklearn.svm.classes.SVC(31)_class_weightnull
sklearn.svm.classes.SVC(31)_coef00.0
sklearn.svm.classes.SVC(31)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(31)_degree3
sklearn.svm.classes.SVC(31)_gamma"auto_deprecated"
sklearn.svm.classes.SVC(31)_kernel"rbf"
sklearn.svm.classes.SVC(31)_max_iter-1
sklearn.svm.classes.SVC(31)_probabilityfalse
sklearn.svm.classes.SVC(31)_random_state22156
sklearn.svm.classes.SVC(31)_shrinkingtrue
sklearn.svm.classes.SVC(31)_tol0.001
sklearn.svm.classes.SVC(31)_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.

17 Evaluation measures

Area under ROC curve
0.5321 ± 0.028
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6937 ± 0.026
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0879 ± 0.0742
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.248 ± 0.0665
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.242 ± 0.0219
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6999 ± 0.0607
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.758 ± 0.0219
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7916 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Recall
0.758 ± 0.0219
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6665 ± 0.0593
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4919 ± 0.0224
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1552 ± 0.051
Cross-validation details (10-fold Crossvalidation)