Run
488512

Run 488512

Task 10069 (Learning Curve) mozilla4 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
0.9603 ± 0.0071
Per class
F measure
0.9422 ± 0.0047
Per class
Kappa
0.8669 ± 0.011
KB relative information score
12511.9759 ± 16.003
Mean absolute error
0.0916 ± 0.0041
Mean prior absolute error
0.4412 ± 0.0001
Number of instances
15545
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9461 ± 0.0035
Per class
Predictive accuracy
0.9435 ± 0.0044
Prior entropy
0.9135
Recall
0.9435 ± 0.0044
Per class
Relative absolute error
0.2075 ± 0.0092
Root mean prior squared error
0.4697 ± 0.0001
Root mean squared error
0.2191 ± 0.0088
Root relative squared error
0.4665 ± 0.0186
SciMark benchmark
1016.2024
UserCPU time millis
740
UserCPU time millis testing
20
UserCPU time millis training
720