Run
1314

Run 1314

Task 1703 (Learning Curve) labor Uploaded 17-04-2014 by Jan van Rijn
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Flow

weka.REPTree(1)Weka implementation of REPTree
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
0.8689 ± 0.1263
Per class
F measure
0.8452 ± 0.1433
Per class
Kappa
0.6722 ± 0.2955
KB relative information score
0.4806 ± 0.2105
Mean absolute error
0.2513 ± 0.0788
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
0.8612 ± 0.1287
Per class
Predictive accuracy
0.8421 ± 0.1467
Prior entropy
0.9349 ± 0.0648
Recall
0.8421 ± 0.1467
Per class
Relative absolute error
0.5499 ± 0.173
Root mean prior squared error
0.4773 ± 0.023
Root mean squared error
0.3518 ± 0.1174
Root relative squared error
0.7372 ± 0.2446
SciMark benchmark
1140.2801