Run
10398862

Run 10398862

Task 14970 (Supervised Classification) har 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)_C182.2619800585236
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef0-0.6655631053928595
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree5
sklearn.svm.classes.SVC(35)_gamma0.023957147713075173
sklearn.svm.classes.SVC(35)_kernel"poly"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state4014
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.003320456653847585
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
0.9952 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9921 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9905 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9915 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0026 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2771 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
10299
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9921 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9921 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5759 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Recall
0.9921 ± 0.0028
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0095 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3722 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0512 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1376 ± 0.0263
Cross-validation details (10-fold Crossvalidation)