OpenML
24839

Run 24839

Task 28 (Supervised Classification) optdigits Uploaded 18-07-2014 by Joaquin Vanschoren
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weka.AdaBoostM1_SMO_PolyKernel(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_SMO_PolyKernel(1)_I160
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_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
0.9895
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9785
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9761
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5494.5103
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0043
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9785
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9785
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.9785
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0238
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0652
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2174
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
899.0386[540.6821856018938962.0344422444904457.30059681515183864.02111707829891671.1545663892362]