Run
751

Run 751

Task 66 (Learning Curve) audiology Uploaded 08-04-2014 by Jan van Rijn
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I10
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9347 ± 0.0323
Per class
Kappa
0.7091 ± 0.0994
KB relative information score
0.6775 ± 0.0674
Mean absolute error
0.0312 ± 0.004
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Predictive accuracy
0.7531 ± 0.086
Prior entropy
3.4373 ± 0.1528
Recall
0.7531 ± 0.086
Per class
Relative absolute error
0.4312 ± 0.0546
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.124 ± 0.0152
Root relative squared error
0.6548 ± 0.0788
SciMark benchmark
849.5637