Run
10398717

Run 10398717

Task 16 (Supervised Classification) mfeat-karhunen 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)_C1.5949297239719284
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.18691602631734172
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree2
sklearn.svm.classes.SVC(35)_gamma0.0027911807727516672
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_state6360
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.0013300790159165412
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
0.9908 ± 0.0026
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9835 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9817 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9827 ± 0.005
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0033 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9835 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9835 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9835 ± 0.0047
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0183 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0574 ± 0.0083
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1915 ± 0.0278
Cross-validation details (10-fold Crossvalidation)