Run
951

Run 951

Task 86 (Learning Curve) colic Uploaded 08-04-2014 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
0.8291 ± 0.074
Per class
F measure
0.841 ± 0.06
Per class
Kappa
0.6551 ± 0.1295
KB relative information score
0.5087 ± 0.0953
Mean absolute error
0.2436 ± 0.0402
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8425 ± 0.0572
Per class
Predictive accuracy
0.8435 ± 0.0562
Prior entropy
0.9503 ± 0.0087
Recall
0.8435 ± 0.0562
Per class
Relative absolute error
0.5226 ± 0.0861
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3625 ± 0.0568
Root relative squared error
0.7509 ± 0.1175
SciMark benchmark
881.3108