Run
297000

Run 297000

Task 91 (Learning Curve) pendigits Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.ConjunctiveRule(3)Weka implementation of ConjunctiveRule
weka.ConjunctiveRule(3)_N3
weka.ConjunctiveRule(3)_M2.0
weka.ConjunctiveRule(3)_P-1
weka.ConjunctiveRule(3)_S1

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
0.7133 ± 0.0049
Per class
Kappa
0.1117 ± 0.0022
KB relative information score
0.2224 ± 0.0027
Mean absolute error
0.1661 ± 0.0002
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.2041 ± 0.0021
Prior entropy
3.3208 ± 0.0002
Recall
0.2041 ± 0.0021
Per class
Relative absolute error
0.9228 ± 0.0009
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2882 ± 0.0003
Root relative squared error
0.9607 ± 0.001
SciMark benchmark
1322.4917
UserCPU time millis
140
UserCPU time millis training
140