Run
25222

Run 25222

Task 70 (Learning Curve) balance-scale 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.

19 Evaluation measures

Area under ROC curve
0.8772 ± 0.0229
Per class
Build CPU time
0.0098
Build memory
4227413409.81
Kappa
0.7688 ± 0.0537
KB relative information score
0.3373 ± 0.0191
Mean absolute error
0.2673 ± 0.0067
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Predictive accuracy
0.8754 ± 0.029
Prior entropy
1.3181 ± 0.0119
Recall
0.8754 ± 0.029
Per class
Relative absolute error
0.704 ± 0.0171
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3452 ± 0.0097
Root relative squared error
0.7926 ± 0.0215
SciMark benchmark
1164.8727[689.1508137755416971.2474413865472525.8285603732052966.25144608918812671.8853096162047]