Run
292880

Run 292880

Task 73 (Learning Curve) mfeat-fourier 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
0.9401 ± 0.0117
Per class
F measure
0.7554 ± 0.0306
Per class
Kappa
0.7302 ± 0.0329
KB relative information score
0.7482 ± 0.0256
Mean absolute error
0.0607 ± 0.0047
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.755 ± 0.0301
Per class
Predictive accuracy
0.7572 ± 0.0296
Prior entropy
3.3219
Recall
0.7572 ± 0.0296
Per class
Relative absolute error
0.3372 ± 0.0259
Root mean prior squared error
0.3
Root mean squared error
0.1915 ± 0.0106
Root relative squared error
0.6382 ± 0.0353
SciMark benchmark
1352.2566
UserCPU time millis
130
UserCPU time millis training
130