Run
10398849

Run 10398849

Task 6 (Supervised Classification) letter 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)_C214.39310767719547
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.6531841305080854
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree5
sklearn.svm.classes.SVC(35)_gamma0.020962316140323626
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_state55746
sklearn.svm.classes.SVC(35)_shrinkingfalse
sklearn.svm.classes.SVC(35)_tol0.004053300093664083
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
0.9773 ± 0.0022
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9564 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9546 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9558 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0034 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9566 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9564 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.9564 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0454 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0579 ± 0.0028
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3013 ± 0.0147
Cross-validation details (10-fold Crossvalidation)