Run
2016960

Run 2016960

Task 11 (Supervised Classification) balance-scale Uploaded 08-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.1. Python_3.5.3. run_task Sat_Apr__8_05.16.27_2017 SciPy_0.19.0. sklearn.svm.classes.SVC Sklearn_0.18.1.
Issue #Downvotes for this reason By


Flow

sklearn.svm.classes.SVC(5)Automatically created sub-component.
sklearn.svm.classes.SVC(5)_C1e-05
sklearn.svm.classes.SVC(5)_cache_size200
sklearn.svm.classes.SVC(5)_class_weightNone
sklearn.svm.classes.SVC(5)_coef00.0
sklearn.svm.classes.SVC(5)_decision_function_shapeNone
sklearn.svm.classes.SVC(5)_degree3
sklearn.svm.classes.SVC(5)_gamma1e-05
sklearn.svm.classes.SVC(5)_kernelrbf
sklearn.svm.classes.SVC(5)_max_iter-1
sklearn.svm.classes.SVC(5)_probabilityTrue
sklearn.svm.classes.SVC(5)_random_stateNone
sklearn.svm.classes.SVC(5)_shrinkingTrue
sklearn.svm.classes.SVC(5)_tol1e-05
sklearn.svm.classes.SVC(5)_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
0.543
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4265
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0059
KB relative information score
2.1321
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3793
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.428
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9987
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0002
Cross-validation details (10-fold Crossvalidation)