Run
1034

Run 1034

Task 116 (Learning Curve) ionosphere Uploaded 09-04-2014 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
0.9036 ± 0.0572
Per class
F measure
0.8928 ± 0.0531
Per class
Kappa
0.7659 ± 0.1156
KB relative information score
0.6817 ± 0.102
Mean absolute error
0.1549 ± 0.0439
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8928 ± 0.0514
Per class
Predictive accuracy
0.8934 ± 0.0523
Prior entropy
0.9418 ± 0.0113
Recall
0.8934 ± 0.0523
Per class
Relative absolute error
0.3365 ± 0.0954
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3 ± 0.0677
Root relative squared error
0.6254 ± 0.1413
SciMark benchmark
880.9846