Run
10398798

Run 10398798

Task 9976 (Supervised Classification) madelon 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)_C73.43340367699598
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)_gamma0.00021978338273130103
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_state39741
sklearn.svm.classes.SVC(35)_shrinkingfalse
sklearn.svm.classes.SVC(35)_tol4.767608678862494e-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
0.5173 ± 0.0401
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3955 ± 0.1134
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0346 ± 0.0803
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0346 ± 0.0803
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4827 ± 0.0401
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
2600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5891 ± 0.0571
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5173 ± 0.0401
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.5173 ± 0.0401
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9654 ± 0.0803
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.6948 ± 0.0306
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3895 ± 0.0612
Cross-validation details (10-fold Crossvalidation)