Run
10398761

Run 10398761

Task 9964 (Supervised Classification) semeion 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)_C6.3533742110876155
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.3533418354523137
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree2
sklearn.svm.classes.SVC(35)_gamma8.3949968048567e-05
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_state19547
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.025581982596164662
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
0.8279 ± 0.0107
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.667 ± 0.0246
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6559 ± 0.0215
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.6752 ± 0.0204
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0619 ± 0.0039
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
1593
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7912 ± 0.0179
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6905 ± 0.0195
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Recall
0.6905 ± 0.0195
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3439 ± 0.0216
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2488 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8293 ± 0.0264
Cross-validation details (10-fold Crossvalidation)