Run
25240

Run 25240

Task 88 (Learning Curve) credit-approval 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
0.8574 ± 0.0356
Per class
Build CPU time
0.07
Build memory
4615619220.49
F measure
0.8505 ± 0.0371
Per class
Kappa
0.702 ± 0.0723
KB relative information score
0.695 ± 0.0752
Mean absolute error
0.1499 ± 0.037
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8622 ± 0.0336
Per class
Predictive accuracy
0.8501 ± 0.037
Prior entropy
0.9912 ± 0.0021
Recall
0.8501 ± 0.037
Per class
Relative absolute error
0.3034 ± 0.0748
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3871 ± 0.0481
Root relative squared error
0.779 ± 0.0967
SciMark benchmark
1140.0083[662.7054180182995945.5127119766177523.7764507793025915.62691531260942652.420249082376]