OpenML
19676

Run 19676

Task 28 (Supervised Classification) optdigits Uploaded 16-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_J48(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_J48(1)_I40
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.9944
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9842
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9824
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5528.4095
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0032
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
0.9842
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9842
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.9842
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0177
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0554
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1848
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.4336[561.93322246417441015.7906865781697484.3219757802961911.80521739130441758.3171307218695]