Run
10398677

Run 10398677

Task 9952 (Supervised Classification) phoneme 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)_C0.07690726350561619
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)_gamma0.01988762551295551
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_state25167
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.009862232948663377
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
0.683 ± 0.0124
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7518 ± 0.0084
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.387 ± 0.0223
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.3752 ± 0.0194
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2404 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4147 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
5404
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.749 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7596 ± 0.0075
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8732 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Recall
0.7596 ± 0.0075
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5796 ± 0.018
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4554 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4903 ± 0.0076
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0767 ± 0.0166
Cross-validation details (10-fold Crossvalidation)