Run
506120

Run 506120

Task 35 (Supervised Classification) dermatology Uploaded 16-01-2016 by Casey Davis
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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)_C0.5220566141656202
weka.SMO_RBFKernel(4)_N1
weka.SMO_RBFKernel(4)_L0.001
weka.SMO_RBFKernel(4)_P1.0E-12
weka.SMO_RBFKernel(4)_Mtrue
weka.SMO_RBFKernel(4)_V-1
weka.SMO_RBFKernel(4)_W1
weka.SMO_RBFKernel(4)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.RBFKernel(4)_G4.1783547433765176E-4
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.

22 Evaluation measures

Area under ROC curve
0.9972
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9589
Cross-validation details (10-fold Crossvalidation)
KB relative information score
350.0254
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.013
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.9673
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9672
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0489
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0944
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2588
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1248.9276
UserCPU time millis
470
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
280
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
190
Cross-validation details (10-fold Crossvalidation)