Run
292924

Run 292924

Task 1703 (Learning Curve) labor 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
0.8689 ± 0.1263
Per class
F measure
0.8452 ± 0.1433
Per class
Kappa
0.6722 ± 0.2955
KB relative information score
0.4806 ± 0.2105
Mean absolute error
0.2513 ± 0.0788
Mean prior absolute error
0.457 ± 0.0218
Number of instances
57
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8612 ± 0.1287
Per class
Predictive accuracy
0.8421 ± 0.1467
Prior entropy
0.9349 ± 0.0648
Recall
0.8421 ± 0.1467
Per class
Relative absolute error
0.5499 ± 0.173
Root mean prior squared error
0.4773 ± 0.023
Root mean squared error
0.3518 ± 0.1174
Root relative squared error
0.7372 ± 0.2446
SciMark benchmark
1338.2217