Run
5776

Run 5776

Task 70 (Learning Curve) balance-scale Uploaded 06-05-2014 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
0.8813 ± 0.0395
Per class
Kappa
0.4745 ± 0.0881
KB relative information score
0.2463 ± 0.0283
Mean absolute error
0.312 ± 0.0098
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.7166 ± 0.0476
Prior entropy
1.3181 ± 0.0119
Recall
0.7166 ± 0.0476
Per class
Relative absolute error
0.8215 ± 0.0255
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3601 ± 0.0114
Root relative squared error
0.8268 ± 0.026
SciMark benchmark
877.2118