Run
637

Run 637

Task 87 (Learning Curve) optdigits Uploaded 07-04-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.678 ± 0.0069
Per class
Kappa
0.1082 ± 0.0024
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
56200
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Predictive accuracy
0.1974 ± 0.0018
Prior entropy
3.3218 ± 0.0001
Recall
0.1974 ± 0.0018
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 ± 0.0015
SciMark benchmark
744.3967