Run
1827

Run 1827

Task 1740 (Learning Curve) soybean 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.

17 Evaluation measures

Area under ROC curve
0.9816 ± 0.0063
Per class
Kappa
0.8213 ± 0.0437
KB relative information score
0.8203 ± 0.0194
Mean absolute error
0.0264 ± 0.0027
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.8375 ± 0.0399
Prior entropy
3.8358 ± 0.0227
Recall
0.8375 ± 0.0399
Per class
Relative absolute error
0.2747 ± 0.0279
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.1141 ± 0.0092
Root relative squared error
0.5208 ± 0.0417
SciMark benchmark
848.5002