Run
2087080

Run 2087080

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 24-04-2017 by Jeroen van Hoof
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  • Mon_Apr_24_16.59.00_2017 NumPy_1.12.0. Python_3.6.0. run_task SciPy_0.19.0. sklearn.svm.classes.SVC Sklearn_0.18.1.
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Flow

sklearn.svm.classes.SVC(5)Automatically created sub-component.
sklearn.svm.classes.SVC(5)_C256.0
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)_gamma0.001953125
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_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
0.9995
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9828
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1922.9564
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0128
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9846
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9845
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0713
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0561
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1869
Cross-validation details (10-fold Crossvalidation)