Run
1664912

Run 1664912

Task 3529 (Supervised Classification) oh5.wc Uploaded 19-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.SMO_RBFKernel(4)J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, 1998. S.S. Keerthi, S.K. Shevade, C. Bhattacharyya, K.R.K. Murthy (2001). Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation. 13(3):637-649. Trevor Hastie, Robert Tibshirani: Classification by Pairwise Coupling. In: Advances in Neural Information Processing Systems, 1998.
weka.SMO_RBFKernel(4)_C1.0
weka.SMO_RBFKernel(4)_N0
weka.SMO_RBFKernel(4)_L0.001
weka.SMO_RBFKernel(4)_P1.0E-12
weka.SMO_RBFKernel(4)_V-1
weka.SMO_RBFKernel(4)_W1
weka.SMO_RBFKernel(4)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.RBFKernel(4)_G0.01
weka.RBFKernel(4)_C250007

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

17 Evaluation measures

Area under ROC curve
0.8155
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2529
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.237
Cross-validation details (10-fold Crossvalidation)
KB relative information score
108.639
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.171
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1775
Cross-validation details (10-fold Crossvalidation)
Number of instances
918
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5527
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3573
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2382
Cross-validation details (10-fold Crossvalidation)
Recall
0.3573
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9635
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2979
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2917
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9792
Cross-validation details (10-fold Crossvalidation)