OpenML
2185

Run 2185

Task 63 (Learning Curve) kr-vs-kp Uploaded 24-04-2014 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
0.9978 ± 0.0022
Per class
F measure
0.9885 ± 0.0057
Per class
Kappa
0.977 ± 0.0115
KB relative information score
0.9684 ± 0.0113
Mean absolute error
0.0171 ± 0.0057
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Precision
0.9885 ± 0.0057
Per class
Predictive accuracy
0.9885 ± 0.0057
Prior entropy
0.9986 ± 0.0002
Recall
0.9885 ± 0.0057
Per class
Relative absolute error
0.0343 ± 0.0114
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1003 ± 0.0254
Root relative squared error
0.2009 ± 0.0509
SciMark benchmark
871.9754