Run
1838409

Run 1838409

Task 3701 (Supervised Classification) sleuth_case1102 Uploaded 02-11-2016 by Josep Pon Farreny
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • NumPy_1.11.2. Python_3.5.2. run_task SciPy_0.18.1. sklearn.svm.classes.SVC Sklearn_0.18. Wed_Nov__2_14.05.25_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
0.4281
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4007
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.2418
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4957
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4935
Cross-validation details (10-fold Crossvalidation)
Number of instances
34
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.3123
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5588
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9911
Cross-validation details (10-fold Crossvalidation)
Recall
0.5588
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0045
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4965
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4987
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0043
Cross-validation details (10-fold Crossvalidation)