Run
10398828

Run 10398828

Task 9985 (Supervised Classification) first-order-theorem-proving 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)_C5400.405235239789
sklearn.svm.classes.SVC(35)_cache_size200
sklearn.svm.classes.SVC(35)_class_weightnull
sklearn.svm.classes.SVC(35)_coef0-0.7766446411668597
sklearn.svm.classes.SVC(35)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(35)_degree3
sklearn.svm.classes.SVC(35)_gamma0.00028854881542974387
sklearn.svm.classes.SVC(35)_kernel"sigmoid"
sklearn.svm.classes.SVC(35)_max_iter-1
sklearn.svm.classes.SVC(35)_probabilityfalse
sklearn.svm.classes.SVC(35)_random_state7965
sklearn.svm.classes.SVC(35)_shrinkingtrue
sklearn.svm.classes.SVC(35)_tol0.00010668939991206693
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
0.6488 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4804 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3043 ± 0.0186
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.3481 ± 0.0137
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1593 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2508 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
6118
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4928 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5222 ± 0.0132
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
Recall
0.5222 ± 0.0132
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6351 ± 0.0174
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3541 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3991 ± 0.0055
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1271 ± 0.0154
Cross-validation details (10-fold Crossvalidation)