Run
5889

Run 5889

Task 1722 (Learning Curve) cmc 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
0.5458 ± 0.0198
Per class
KB relative information score
0.0625 ± 0.0179
Mean absolute error
0.4091 ± 0.0086
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.427 ± 0.0033
Prior entropy
1.539 ± 0.0029
Recall
0.427 ± 0.0033
Per class
Relative absolute error
0.9495 ± 0.0202
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4523 ± 0.0043
Root relative squared error
0.9745 ± 0.0097
SciMark benchmark
870.5901