Run
1336

Run 1336

Task 1717 (Learning Curve) mfeat-morphological 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
0.9406 ± 0.0132
Per class
F measure
0.6953 ± 0.0292
Per class
Kappa
0.6811 ± 0.0307
KB relative information score
0.7302 ± 0.0225
Mean absolute error
0.0697 ± 0.0042
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7087 ± 0.0565
Per class
Predictive accuracy
0.713 ± 0.0276
Prior entropy
3.3219
Recall
0.713 ± 0.0276
Per class
Relative absolute error
0.3873 ± 0.0232
Root mean prior squared error
0.3
Root mean squared error
0.1982 ± 0.0091
Root relative squared error
0.6608 ± 0.0303
SciMark benchmark
1142.138