Run
921

Run 921

Task 66 (Learning Curve) audiology Uploaded 08-04-2014 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
0.7133 ± 0.0148
Per class
Kappa
0.3059 ± 0.0177
KB relative information score
0.2571 ± 0.0249
Mean absolute error
0.0593 ± 0.0009
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.4646 ± 0.0203
Prior entropy
3.4373 ± 0.1528
Recall
0.4646 ± 0.0203
Per class
Relative absolute error
0.8185 ± 0.0075
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1724 ± 0.0032
Root relative squared error
0.9107 ± 0.0124
SciMark benchmark
893.1945