Run
10398692

Run 10398692

Task 9967 (Supervised Classification) steel-plates-fault 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)_C3.714363748428498
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)_gamma0.0016313233988476735
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_state36441
sklearn.svm.classes.SVC(35)_shrinkingfalse
sklearn.svm.classes.SVC(35)_tol0.0015680901983508662
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
0.5015 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5186
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0039 ± 0.0082
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2047 ± 0.0069
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3457 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7739
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6543 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9311 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Recall
0.6543 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.763 ± 0.007
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.588 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2354 ± 0.005
Cross-validation details (10-fold Crossvalidation)