Run
488522

Run 488522

Task 10065 (Learning Curve) letter-challenge-labeled.arff 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
0.9678 ± 0.0052
Per class
F measure
0.9503 ± 0.0054
Per class
Kappa
0.8742 ± 0.0146
KB relative information score
17100.2699 ± 30.6812
Mean absolute error
0.0537 ± 0.0054
Mean prior absolute error
0.3968 ± 0.0001
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9503 ± 0.0053
Per class
Predictive accuracy
0.9506 ± 0.005
Prior entropy
0.8456
Recall
0.9506 ± 0.005
Per class
Relative absolute error
0.1352 ± 0.0135
Root mean prior squared error
0.4454 ± 0.0001
Root mean squared error
0.2004 ± 0.0069
Root relative squared error
0.45 ± 0.0155
SciMark benchmark
890.7502
UserCPU time millis
5470
UserCPU time millis testing
80
UserCPU time millis training
5390