Run
25246

Run 25246

Task 94 (Learning Curve) dermatology Uploaded 17-08-2014 by Jan van Rijn
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Flow

weka.SMO_PolyKernel(6)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.PolyKernel(4)_C250007
weka.PolyKernel(4)_E1.0
weka.SMO_PolyKernel(6)_C1.0
weka.SMO_PolyKernel(6)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(6)_L0.001
weka.SMO_PolyKernel(6)_N0
weka.SMO_PolyKernel(6)_P1.0E-12
weka.SMO_PolyKernel(6)_V-1
weka.SMO_PolyKernel(6)_W1

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.

21 Evaluation measures

Area under ROC curve
0.9855 ± 0.0106
Per class
Build CPU time
0.0667
Build memory
5298214609.96
F measure
0.9605 ± 0.0306
Per class
Kappa
0.9507 ± 0.0372
KB relative information score
0.3433 ± 0.0042
Mean absolute error
0.2231 ± 0.0007
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9604 ± 0.0277
Per class
Predictive accuracy
0.9607 ± 0.0297
Prior entropy
2.4327 ± 0.0089
Recall
0.9607 ± 0.0297
Per class
Relative absolute error
0.8373 ± 0.0026
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.3116 ± 0.001
Root relative squared error
0.854 ± 0.003
SciMark benchmark
1154.7036[647.4538367836819983.6421727629752528.676453689624965.1840657880762648.5612208295197]