DEVELOPMENT... OpenML
Run
23461

Run 23461

Task 28 (Supervised Classification) optdigits Uploaded 25-06-2014 by Felicia West
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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)_I20
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
0.995
Per class
F measure
0.9815
Per class
Kappa
0.9794
KB relative information score
5515.6732
Mean absolute error
0.0037
Mean prior absolute error
0.18
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9815
Per class
Predictive accuracy
0.9815
Prior entropy
3.3218
Recall
0.9815
Per class
Relative absolute error
0.0206
Root mean prior squared error
0.3
Root mean squared error
0.0586
Root relative squared error
0.1952
SciMark benchmark
593.4042[342.94940066343554902.555042907464244.03222743801663521.3683499688937956.1157975240752]