Run
10398728

Run 10398728

Task 125922 (Supervised Classification) texture 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)_C2313.9215506063565
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.0
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree3
sklearn.svm.classes.SVC(35)_gamma0.23830021064374624
sklearn.svm.classes.SVC(35)_kernel"rbf"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state43321
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.00012034096159216312
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
0.9991 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9984 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9982 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9983 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0003 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
5500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9984 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9984 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.9984 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0018 ± 0.0026
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0172 ± 0.0134
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.06 ± 0.0466
Cross-validation details (10-fold Crossvalidation)