Run
292889

Run 292889

Task 86 (Learning Curve) colic Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 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_75, amd64, Linux, 3.16.0-29-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
1345.848