Run
1838498

Run 1838498

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 02-11-2016 by Josep Pon Farreny
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  • NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. sklearn.svm.classes.SVC Sklearn_0.18. Wed_Nov__2_14.11.35_2016
Issue #Downvotes for this reason By


Flow

sklearn.svm.classes.SVC(4)Flow generated by run_task
sklearn.svm.classes.SVC(4)_cache_size200
sklearn.svm.classes.SVC(4)_shrinkingTrue
sklearn.svm.classes.SVC(4)_tol0.001
sklearn.svm.classes.SVC(4)_max_iter-1
sklearn.svm.classes.SVC(4)_probabilityTrue
sklearn.svm.classes.SVC(4)_kernelrbf
sklearn.svm.classes.SVC(4)_coef00.0
sklearn.svm.classes.SVC(4)_random_stateNone
sklearn.svm.classes.SVC(4)_class_weightNone
sklearn.svm.classes.SVC(4)_decision_function_shapeNone
sklearn.svm.classes.SVC(4)_gammaauto
sklearn.svm.classes.SVC(4)_verboseFalse
sklearn.svm.classes.SVC(4)_degree3
sklearn.svm.classes.SVC(4)_C1.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

csv
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.5561
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5426
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0876
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.4985
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4932
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4997
Cross-validation details (10-fold Crossvalidation)
Number of instances
88
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5449
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5455
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9996
Cross-validation details (10-fold Crossvalidation)
Recall
0.5455
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.987
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4984
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9971
Cross-validation details (10-fold Crossvalidation)