DEVELOPMENT... OpenML
Run
15348

Run 15348

Task 115 (Learning Curve) vowel Uploaded 04-06-2014 by Mandy
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.SMO_PolyKernel(1)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(1)_C250007
weka.PolyKernel(1)_E1.0
weka.SMO_PolyKernel(1)_C1.0
weka.SMO_PolyKernel(1)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(1)_L0.001
weka.SMO_PolyKernel(1)_N0
weka.SMO_PolyKernel(1)_P1.0E-12
weka.SMO_PolyKernel(1)_V-1
weka.SMO_PolyKernel(1)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9493 ± 0.009
Per class
F measure
0.7044 ± 0.0449
Per class
Kappa
0.6773 ± 0.0484
KB relative information score
0.2647 ± 0.0041
Mean absolute error
0.1505 ± 0.0003
Mean prior absolute error
0.1653
Number of instances
9900
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7045 ± 0.0461
Per class
Predictive accuracy
0.7067 ± 0.044
Prior entropy
3.4594
Recall
0.7067 ± 0.044
Per class
Relative absolute error
0.9104 ± 0.0016
Root mean prior squared error
0.2875
Root mean squared error
0.2665 ± 0.0005
Root relative squared error
0.9269 ± 0.0017
SciMark benchmark
868.3252

A PHP Error was encountered

Severity: Core Warning

Message: Module 'mysqli' already loaded

Filename: Unknown

Line Number: 0

Backtrace: