Run
25245

Run 25245

Task 93 (Learning Curve) postoperative-patient-data 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
0.4769 ± 0.0379
Per class
Build CPU time
0.0152
Build memory
4835721228.64
Kappa
-0.059 ± 0.0867
KB relative information score
-0.0576 ± 0.068
Mean absolute error
0.299 ± 0.0216
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Predictive accuracy
0.6789 ± 0.0722
Prior entropy
0.983 ± 0.181
Recall
0.6789 ± 0.0722
Per class
Relative absolute error
1.0416 ± 0.0464
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.3884 ± 0.0276
Root relative squared error
1.0344 ± 0.0461
SciMark benchmark
1144.1581[681.6102499411696972.4728636133766517.2166844049436913.07556704216552636.4149078812084]