Run
6041

Run 6041

Task 89 (Learning Curve) page-blocks Uploaded 09-05-2014 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
0.895 ± 0.021
Per class
Kappa
0.5795 ± 0.0314
KB relative information score
0.3348 ± 0.0299
Mean absolute error
0.0607 ± 0.0017
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.9313 ± 0.0057
Prior entropy
0.6355 ± 0.0053
Recall
0.9313 ± 0.0057
Per class
Relative absolute error
0.7964 ± 0.0224
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.1531 ± 0.005
Root relative squared error
0.786 ± 0.0254
SciMark benchmark
874.0519