Run
10398693

Run 10398693

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)_C19.035380594385842
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.27686051540748813
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree1
sklearn.svm.classes.SVC(35)_gamma0.005210848090633747
sklearn.svm.classes.SVC(35)_kernel"poly"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state29201
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.014202309636275043
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
0.7178 ± 0.0212
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7725 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4455 ± 0.0378
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.4156 ± 0.0337
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2248 ± 0.013
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
0.7706 ± 0.0153
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7752 ± 0.013
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8732 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Recall
0.7752 ± 0.013
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5421 ± 0.0313
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
0.4742 ± 0.0136
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0413 ± 0.03
Cross-validation details (10-fold Crossvalidation)