Run
10398719

Run 10398719

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)_C0.5020886696170518
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef0-0.30715413527425617
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree3
sklearn.svm.classes.SVC(35)_gamma0.0038826047165906657
sklearn.svm.classes.SVC(35)_kernel"sigmoid"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state43955
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.0161036523890002
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
0.8262 ± 0.0065
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6512 ± 0.0142
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6524 ± 0.013
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6714 ± 0.0122
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0575 ± 0.0021
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
0.7298 ± 0.0279
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.684 ± 0.0118
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.684 ± 0.0118
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3476 ± 0.013
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2397 ± 0.0045
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8338 ± 0.0156
Cross-validation details (10-fold Crossvalidation)