Run
1347

Run 1347

Task 1703 (Learning Curve) labor Uploaded 17-04-2014 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.

19 Evaluation measures

Area under ROC curve
0.9115 ± 0.1396
Per class
F measure
0.8555 ± 0.1707
Per class
Kappa
0.6771 ± 0.3921
KB relative information score
0.4623 ± 0.2091
Mean absolute error
0.2683 ± 0.0779
Mean prior absolute error
0.457 ± 0.0218
Number of instances
57
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8611 ± 0.1792
Per class
Predictive accuracy
0.8596 ± 0.1543
Prior entropy
0.9349 ± 0.0648
Recall
0.8596 ± 0.1543
Per class
Relative absolute error
0.587 ± 0.1708
Root mean prior squared error
0.4773 ± 0.023
Root mean squared error
0.3348 ± 0.1044
Root relative squared error
0.7015 ± 0.2193
SciMark benchmark
1143.5292