Run
1971926

Run 1971926

Task 3951 (Supervised Classification) desharnais Uploaded 03-04-2017 by Ji Hun Yang
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Flow

weka.SMO_NormalizedPolyKernel(2)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_NormalizedPolyKernel(2)_C1.0
weka.SMO_NormalizedPolyKernel(2)_N0
weka.SMO_NormalizedPolyKernel(2)_L0.001
weka.SMO_NormalizedPolyKernel(2)_P1.0E-12
weka.SMO_NormalizedPolyKernel(2)_V-1
weka.SMO_NormalizedPolyKernel(2)_W1
weka.SMO_NormalizedPolyKernel(2)_Kweka.classifiers.functions.supportVector.NormalizedPolyKernel
weka.SMO_NormalizedPolyKernel(2)_calibratortrue
weka.NormalizedPolyKernel(7)_E12.0
weka.NormalizedPolyKernel(7)_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
0.6735
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6272
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3571
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17.1251
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3182
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3804
Cross-validation details (10-fold Crossvalidation)
Number of instances
81
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5938
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.679
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3765
Cross-validation details (10-fold Crossvalidation)
Recall
0.679
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8367
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4348
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4124
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9486
Cross-validation details (10-fold Crossvalidation)
Total cost