Run
488515

Run 488515

Task 10068 (Learning Curve) mc1 Uploaded 02-12-2015 by Joaquin Vanschoren
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Flow

weka.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

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
0.8415 ± 0.1342
Per class
F measure
0.9932 ± 0.0024
Per class
Kappa
0.4792 ± 0.1934
KB relative information score
-9708.5922 ± 405.1883
Mean absolute error
0.0084 ± 0.0021
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9929 ± 0.0029
Per class
Predictive accuracy
0.9939 ± 0.0022
Prior entropy
0.0622
Recall
0.9939 ± 0.0022
Per class
Relative absolute error
0.5832 ± 0.1412
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.0769 ± 0.0149
Root relative squared error
0.9104 ± 0.1781
SciMark benchmark
1099.9946
UserCPU time millis
830
UserCPU time millis testing
10
UserCPU time millis training
820