Run
1762

Run 1762

Task 1720 (Learning Curve) car Uploaded 23-04-2014 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
0.9764 ± 0.0078
Per class
F measure
0.8854 ± 0.0212
Per class
Kappa
0.753 ± 0.0446
KB relative information score
0.769 ± 0.0447
Mean absolute error
0.0602 ± 0.0109
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Precision
0.8877 ± 0.0241
Per class
Predictive accuracy
0.8848 ± 0.0208
Prior entropy
1.2058 ± 0.0093
Recall
0.8848 ± 0.0208
Per class
Relative absolute error
0.2628 ± 0.0476
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1893 ± 0.0178
Root relative squared error
0.56 ± 0.0527
SciMark benchmark
846.9796