Run
10398671

Run 10398671

Task 3549 (Supervised Classification) analcatdata_authorship 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)_C6329.9666659657905
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef0-0.9033774251145295
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree4
sklearn.svm.classes.SVC(35)_gamma0.0003024021627583189
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_state8248
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol1.9175490814711856e-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
0.9963 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9952 ± 0.0083
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9931 ± 0.012
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9941 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0024 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3439 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Number of instances
841
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9953 ± 0.0081
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9952 ± 0.0083
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7874 ± 0.0186
Cross-validation details (10-fold Crossvalidation)
Recall
0.9952 ± 0.0083
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0069 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4146 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0488 ± 0.0432
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1176 ± 0.1039
Cross-validation details (10-fold Crossvalidation)