Run
2081289

Run 2081289

Task 11 (Supervised Classification) balance-scale Uploaded 20-04-2017 by Jeroen van Hoof
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  • NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.svm.classes.SVC Sklearn_0.18.1. Thu_Apr_20_16.51.36_2017
Issue #Downvotes for this reason By


Flow

sklearn.svm.classes.SVC(5)Automatically created sub-component.
sklearn.svm.classes.SVC(5)_C128
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)_gamma0.0625
sklearn.svm.classes.SVC(5)_kernelpoly
sklearn.svm.classes.SVC(5)_max_iter-1
sklearn.svm.classes.SVC(5)_probabilityTrue
sklearn.svm.classes.SVC(5)_random_state3
sklearn.svm.classes.SVC(5)_shrinkingTrue
sklearn.svm.classes.SVC(5)_tol0.001
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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9953
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9916
Cross-validation details (10-fold Crossvalidation)
KB relative information score
565.3909
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0455
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
0.9955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9952
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.9952
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1199
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1133
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2601
Cross-validation details (10-fold Crossvalidation)