Run
20035

Run 20035

Task 39 (Supervised Classification) sonar Uploaded 18-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I160
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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.

19 Evaluation measures

Area under ROC curve
0.8726
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7885
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.575
Cross-validation details (10-fold Crossvalidation)
KB relative information score
110.1109
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2396
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4978
Cross-validation details (10-fold Crossvalidation)
Number of instances
208
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7885
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7885
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9968
Cross-validation details (10-fold Crossvalidation)
Recall
0.7885
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4814
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3874
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7766
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.0219[569.45499857552561015.2555353338006483.44967579697345913.71210817040291753.2370197795062]