DEVELOPMENT... OpenML
Run
17645

Run 17645

Task 28 (Supervised Classification) optdigits Uploaded 09-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(1)_I40
weka.AdaBoostM1_RandomTree(1)_P100
weka.AdaBoostM1_RandomTree(1)_S1
weka.AdaBoostM1_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9165
Per class
F measure
0.8496
Per class
Kappa
0.8329
KB relative information score
4736.3985
Mean absolute error
0.0301
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
0.8496
Per class
Predictive accuracy
0.8496
Prior entropy
3.3218
Recall
0.8496
Per class
Relative absolute error
0.1671
Root mean prior squared error
0.3
Root mean squared error
0.1734
Root relative squared error
0.578
SciMark benchmark
946.2263[565.0277180558361013.1203667026068482.7975877024999906.75889678256981763.4269028321794]