Run
25220

Run 25220

Task 68 (Learning Curve) autos 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
0.8823 ± 0.0517
Per class
Build CPU time
0.0571
Build memory
4358873480.592
F measure
0.704 ± 0.0902
Per class
Kappa
0.6231 ± 0.1251
KB relative information score
0.1854 ± 0.0315
Mean absolute error
0.2098 ± 0.0024
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7037 ± 0.0882
Per class
Predictive accuracy
0.7093 ± 0.0966
Prior entropy
2.2802 ± 0.0732
Recall
0.7093 ± 0.0966
Per class
Relative absolute error
0.9499 ± 0.0124
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.3104 ± 0.0038
Root relative squared error
0.9356 ± 0.0129
SciMark benchmark
1172.7304[676.8492605614762980.3892194377594541.0641779551165963.05661721159732702.29271684098]