Run
10398740

Run 10398740

Task 58 (Supervised Classification) waveform-5000 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)_C14.270853224342483
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef0-0.5919554571067158
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree2
sklearn.svm.classes.SVC(35)_gamma0.5157921213075345
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_state14461
sklearn.svm.classes.SVC(35)_shrinkingfalse
sklearn.svm.classes.SVC(35)_tol0.005292733478008779
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
0.8592 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8124 ± 0.0124
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7186 ± 0.0185
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.7432 ± 0.0169
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1251 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8125 ± 0.0128
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8124 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5849 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.8124 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2814 ± 0.0185
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3536 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7502 ± 0.0245
Cross-validation details (10-fold Crossvalidation)