Run
10398683

Run 10398683

Task 125922 (Supervised Classification) texture 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)_C8329.050838777124
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef0-0.16958855363326686
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree4
sklearn.svm.classes.SVC(35)_gamma0.04008213020871723
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_state56970
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.013358640846583128
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
0.8988 ± 0.006
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.823 ± 0.0103
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7976 ± 0.012
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8087 ± 0.0113
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0335 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1653
Cross-validation details (10-fold Crossvalidation)
Number of instances
5500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8492 ± 0.0175
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.816 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.4594
Cross-validation details (10-fold Crossvalidation)
Recall
0.816 ± 0.0109
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2024 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2875
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1829 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6362 ± 0.0189
Cross-validation details (10-fold Crossvalidation)