Run
10398844

Run 10398844

Task 3481 (Supervised Classification) isolet 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)_C2020.1221220690952
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)_gamma3.604582189076712e-05
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_state57497
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.0004406951039030767
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
0.9833 ± 0.0033
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9679 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9667 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9675 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0025 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
7797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9681 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9679 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7004 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.9679 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0333 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0497 ± 0.0051
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2582 ± 0.0264
Cross-validation details (10-fold Crossvalidation)