Run
292868

Run 292868

Task 62 (Learning Curve) anneal 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
0.9755 ± 0.0144
Per class
F measure
0.9177 ± 0.0316
Per class
Kappa
0.7917 ± 0.0757
KB relative information score
0.7571 ± 0.0551
Mean absolute error
0.0408 ± 0.007
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.918 ± 0.0299
Per class
Predictive accuracy
0.9196 ± 0.0281
Prior entropy
1.1915 ± 0.0248
Recall
0.9196 ± 0.0281
Per class
Relative absolute error
0.3035 ± 0.0523
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1381 ± 0.0203
Root relative squared error
0.5349 ± 0.0782
SciMark benchmark
1325.0379
UserCPU time millis
10
UserCPU time millis training
10