Run
437597

Run 437597

Task 7535 (Learning Curve) monks-problems-2 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
0.8685 ± 0.0539
Per class
F measure
0.7851 ± 0.0754
Per class
Kappa
0.5195 ± 0.1658
KB relative information score
0.4959 ± 0.1377
Mean absolute error
0.2189 ± 0.0569
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7841 ± 0.0764
Per class
Predictive accuracy
0.787 ± 0.0738
Prior entropy
0.9274 ± 0.0078
Recall
0.787 ± 0.0738
Per class
Relative absolute error
0.4856 ± 0.1248
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.3894 ± 0.0579
Root relative squared error
0.8205 ± 0.1191
SciMark benchmark
913.9348
UserCPU time millis
10
UserCPU time millis training
10