Run
10398659

Run 10398659

Task 10093 (Supervised Classification) banknote-authentication Uploaded 17-09-2019 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_C32.47286159477611
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef0-0.06606804869087912
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree3
sklearn.svm.classes.SVC(35)_gamma0.17443839262956135
sklearn.svm.classes.SVC(35)_kernel"sigmoid"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state5166
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol6.065742213567695e-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
0.7588 ± 0.0632
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7611 ± 0.0631
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5167 ± 0.127
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5133 ± 0.1293
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2391 ± 0.0635
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Number of instances
1372
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7614 ± 0.0638
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7609 ± 0.0635
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9911 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Recall
0.7609 ± 0.0635
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4841 ± 0.1286
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4889 ± 0.0614
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9839 ± 0.1236
Cross-validation details (10-fold Crossvalidation)