Run
25221

Run 25221

Task 69 (Learning Curve) lymph 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
0.8647 ± 0.0837
Per class
Build CPU time
0.0242
Build memory
4293461515.06
F measure
0.8581 ± 0.0861
Per class
Kappa
0.7307 ± 0.1672
KB relative information score
0.1265 ± 0.1001
Mean absolute error
0.2623 ± 0.0078
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8601 ± 0.0829
Per class
Predictive accuracy
0.8588 ± 0.0873
Prior entropy
1.2302 ± 0.1357
Recall
0.8588 ± 0.0873
Per class
Relative absolute error
0.9798 ± 0.0359
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.3309 ± 0.0117
Root relative squared error
0.9092 ± 0.037
SciMark benchmark
1175.4165[658.2040506252245986.4115567011403547.269019987302969.46745698898852715.730261594551]