Run
10559992

Run 10559992

Task 12 (Supervised Classification) mfeat-factors Uploaded 13-08-2021 by Sergey Redyuk
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Flow

sklearn.svm.classes.SVC(45)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(45)_C1.0
sklearn.svm.classes.SVC(45)_cache_size200
sklearn.svm.classes.SVC(45)_class_weightnull
sklearn.svm.classes.SVC(45)_coef00.0
sklearn.svm.classes.SVC(45)_decision_function_shapenull
sklearn.svm.classes.SVC(45)_degree3
sklearn.svm.classes.SVC(45)_gamma"auto"
sklearn.svm.classes.SVC(45)_kernel"rbf"
sklearn.svm.classes.SVC(45)_max_iter-1
sklearn.svm.classes.SVC(45)_probabilityfalse
sklearn.svm.classes.SVC(45)_random_state42031
sklearn.svm.classes.SVC(45)_shrinkingtrue
sklearn.svm.classes.SVC(45)_tol0.001
sklearn.svm.classes.SVC(45)_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.

18 Evaluation measures

Area under ROC curve
0.5789 ± 0.0332
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.213
Per class
Kappa
0.1578 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2073 ± 0.0624
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1516 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.242 ± 0.0597
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.872
Per class
Predictive accuracy
0.242 ± 0.0597
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8422 ± 0.0663
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3894 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2979 ± 0.0519
Cross-validation details (10-fold Crossvalidation)
Unweighted recall
0.242 ± 0.0597
Cross-validation details (10-fold Crossvalidation)