Run
10398704

Run 10398704

Task 9964 (Supervised Classification) semeion 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)_C321.66653043766763
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef00.0
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree3
sklearn.svm.classes.SVC(35)_gamma0.03699687992555511
sklearn.svm.classes.SVC(35)_kernel"rbf"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state13536
sklearn.svm.classes.SVC(35)_shrinkingfalse
sklearn.svm.classes.SVC(35)_tol0.00744686039301253
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
0.9752 ± 0.0076
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9556 ± 0.0136
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9505 ± 0.0152
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.9534 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0089 ± 0.0027
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
0.9563 ± 0.0133
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9554 ± 0.0137
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Recall
0.9554 ± 0.0137
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0495 ± 0.0152
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0944 ± 0.0149
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3147 ± 0.0498
Cross-validation details (10-fold Crossvalidation)