Run
292871

Run 292871

Task 63 (Learning Curve) kr-vs-kp 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
0.9978 ± 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
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
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
1323.4784
UserCPU time millis
20
UserCPU time millis training
20