DEVELOPMENT... OpenML
Run
19601

Run 19601

Task 28 (Supervised Classification) optdigits Uploaded 16-06-2014 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)_I10
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
0.9967
Per class
F measure
0.9735
Per class
Kappa
0.9705
KB relative information score
5478.036
Mean absolute error
0.0052
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
0.9736
Per class
Predictive accuracy
0.9735
Prior entropy
3.3218
Recall
0.9735
Per class
Relative absolute error
0.0287
Root mean prior squared error
0.3
Root mean squared error
0.0678
Root relative squared error
0.2259
SciMark benchmark
922.3826[563.5672451942526985.6547740150851473.84898880647887888.02163775787691700.8201157665392]

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