Run
1672555

Run 1672555

Task 3531 (Supervised Classification) la1s.wc Uploaded 20-07-2016 by Jan van Rijn
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Flow

weka.SMO_NormalizedPolyKernel(1)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(1)_C1.0
weka.SMO_NormalizedPolyKernel(1)_N0
weka.SMO_NormalizedPolyKernel(1)_L0.001
weka.SMO_NormalizedPolyKernel(1)_P1.0E-12
weka.SMO_NormalizedPolyKernel(1)_V-1
weka.SMO_NormalizedPolyKernel(1)_W1
weka.SMO_NormalizedPolyKernel(1)_Kweka.classifiers.functions.supportVector.NormalizedPolyKernel
weka.NormalizedPolyKernel(6)_E2.0
weka.NormalizedPolyKernel(6)_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
0.8821
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6603
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5735
Cross-validation details (10-fold Crossvalidation)
KB relative information score
854.6463
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2345
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2665
Cross-validation details (10-fold Crossvalidation)
Number of instances
3204
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7931
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6788
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4437
Cross-validation details (10-fold Crossvalidation)
Recall
0.6788
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.88
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.365
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3295
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9028
Cross-validation details (10-fold Crossvalidation)