Run
437598

Run 437598

Task 7536 (Learning Curve) monks-problems-3 Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_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
0.9879 ± 0.0093
Per class
F measure
0.9892 ± 0.0093
Per class
Kappa
0.9783 ± 0.0187
KB relative information score
0.963 ± 0.0172
Mean absolute error
0.0213 ± 0.0083
Mean prior absolute error
0.4992 ± 0.0003
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9893 ± 0.009
Per class
Predictive accuracy
0.9892 ± 0.0093
Prior entropy
0.9989 ± 0.0008
Recall
0.9892 ± 0.0093
Per class
Relative absolute error
0.0427 ± 0.0166
Root mean prior squared error
0.4996 ± 0.0003
Root mean squared error
0.1036 ± 0.06
Root relative squared error
0.2074 ± 0.1202
SciMark benchmark
913.9348