Run
292872

Run 292872

Task 68 (Learning Curve) autos 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.

20 Evaluation measures

Area under ROC curve
0.8394 ± 0.0685
Per class
Kappa
0.4917 ± 0.1502
KB relative information score
0.5293 ± 0.0982
Mean absolute error
0.1271 ± 0.0231
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.6146 ± 0.1138
Prior entropy
2.2802 ± 0.0732
Recall
0.6146 ± 0.1138
Per class
Relative absolute error
0.5752 ± 0.1043
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.2807 ± 0.0344
Root relative squared error
0.846 ± 0.1032
SciMark benchmark
1325.0379