Run
10398794

Run 10398794

Task 32 (Supervised Classification) pendigits 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)_C5818.2351040971735
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.042761511650516004
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree4
sklearn.svm.classes.SVC(35)_gamma2.2933312550911973
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_state31359
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol1.056251218072085e-05
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
0.9963 ± 0.0015
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9934 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9926 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9931 ± 0.0027
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0013 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
10992
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9934 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9934 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3208 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Recall
0.9934 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0074 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0364 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1215 ± 0.0239
Cross-validation details (10-fold Crossvalidation)