Run
10398662

Run 10398662

Task 9980 (Supervised Classification) climate-model-simulation-crashes 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)_C202.19070828828333
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)_gamma0.3835904608942562
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_state50934
sklearn.svm.classes.SVC(35)_shrinkingfalse
sklearn.svm.classes.SVC(35)_tol0.0017079628415561999
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.

15 Evaluation measures

Area under ROC curve
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.2584 ± 0.0269
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0852 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1571 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9148 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4202 ± 0.0325
Cross-validation details (10-fold Crossvalidation)
Recall
0.9148 ± 0.0096
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5421 ± 0.0343
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2792 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2919 ± 0.0166
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0455 ± 0.006
Cross-validation details (10-fold Crossvalidation)