Run
6058241

Run 6058241

Task 28 (Supervised Classification) optdigits Uploaded 31-07-2017 by Miguel Cachada
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weka.SMO_RBFKernel(8)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.SMO_RBFKernel(8)_C1.3796939790023386
weka.SMO_RBFKernel(8)_N0
weka.SMO_RBFKernel(8)_L0.001
weka.SMO_RBFKernel(8)_P1.0E-12
weka.SMO_RBFKernel(8)_V-1
weka.SMO_RBFKernel(8)_W1
weka.SMO_RBFKernel(8)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(8)_calibratortrue
weka.RBFKernel(5)_G0.15419343609743885
weka.RBFKernel(5)_C250007

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.

22 Evaluation measures

Area under ROC curve
0.9985
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9909
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1687.9959
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1601
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
5620
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9919
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9918
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.9918
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8892
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2721
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.907
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1710.2356
UserCPU time millis
8010
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
5000
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
3010
Cross-validation details (10-fold Crossvalidation)