Run
25238

Run 25238

Task 86 (Learning Curve) colic 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
0.8143 ± 0.0613
Per class
Build CPU time
0.0252
Build memory
4889839911.84
F measure
0.8289 ± 0.0536
Per class
Kappa
0.6319 ± 0.1157
KB relative information score
0.6228 ± 0.1144
Mean absolute error
0.1707 ± 0.0519
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8286 ± 0.0522
Per class
Predictive accuracy
0.8293 ± 0.0519
Prior entropy
0.9503 ± 0.0087
Recall
0.8293 ± 0.0519
Per class
Relative absolute error
0.3661 ± 0.1111
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.4131 ± 0.0641
Root relative squared error
0.8558 ± 0.1326
SciMark benchmark
1153.2961[673.452006873687987.9287345265587532.7421736181166882.04579496113712690.3120247801858]