Run
10398829

Run 10398829

Task 10093 (Supervised Classification) banknote-authentication Uploaded 17-09-2019 by Jan van Rijn
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Flow

sklearn.svm.classes.SVC(35)C-Support Vector Classification. The implementation is based on libsvm. The fit time complexity is more than quadratic with the number of samples which makes it hard to scale to dataset with more than a couple of 10000 samples. The multiclass support is handled according to a one-vs-one scheme. For details on the precise mathematical formulation of the provided kernel functions and how `gamma`, `coef0` and `degree` affect each other, see the corresponding section in the narrative documentation: :ref:`svm_kernels`.
sklearn.svm.classes.SVC(35)_C1.3505496576056615
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.9394965902806032
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree3
sklearn.svm.classes.SVC(35)_gamma0.7192985461586294
sklearn.svm.classes.SVC(35)_kernel"sigmoid"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state41345
sklearn.svm.classes.SVC(35)_shrinkingfalse
sklearn.svm.classes.SVC(35)_tol0.008133025839758405
sklearn.svm.classes.SVC(35)_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
0.756 ± 0.0643
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7588 ± 0.0644
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5117 ± 0.1296
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5088 ± 0.1318
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2413 ± 0.0648
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
1372
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7589 ± 0.0646
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7587 ± 0.0648
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9911 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Recall
0.7587 ± 0.0648
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4885 ± 0.1311
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4912 ± 0.0632
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9884 ± 0.1272
Cross-validation details (10-fold Crossvalidation)