Run
5874

Run 5874

Task 1727 (Learning Curve) optdigits Uploaded 07-05-2014 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(1)_I10
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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.

17 Evaluation measures

Area under ROC curve
0.6775 ± 0.0087
Per class
Kappa
0.1084 ± 0.0023
KB relative information score
0.1932 ± 0.002
Mean absolute error
0.1688 ± 0.0002
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.1975 ± 0.0019
Prior entropy
3.3218 ± 0.0001
Recall
0.1975 ± 0.0019
Per class
Relative absolute error
0.9378 ± 0.0013
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2905 ± 0.0005
Root relative squared error
0.9684 ± 0.0016
SciMark benchmark
879.1352