Run
17580

Run 17580

Task 28 (Supervised Classification) optdigits Uploaded 09-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I10
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9985
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9699
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9666
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5444.6205
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0071
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
0.97
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9699
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.9699
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0393
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0708
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.236
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.0796[564.84475602395331015.2555353338006484.54051677983614912.43991219425081758.3172656914378]