Run
10398734

Run 10398734

Task 9957 (Supervised Classification) qsar-biodeg 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)_C0.8767805909083395
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)_gamma0.00014419769460095544
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_state34512
sklearn.svm.classes.SVC(35)_shrinkingfalse
sklearn.svm.classes.SVC(35)_tol0.005695497144861927
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
0.5645 ± 0.0316
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.621 ± 0.0415
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1628 ± 0.0782
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.305 ± 0.0533
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2967 ± 0.023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4472 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
1055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7598 ± 0.1126
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7033 ± 0.023
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9223 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Recall
0.7033 ± 0.023
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6633 ± 0.051
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5447 ± 0.0209
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.152 ± 0.0435
Cross-validation details (10-fold Crossvalidation)