Run
437693

Run 437693

Task 7535 (Learning Curve) monks-problems-2 Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.KStar(3)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(3)_B20
weka.KStar(3)_Ma

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
0.8429 ± 0.0702
Per class
F measure
0.8034 ± 0.0767
Per class
Kappa
0.5522 ± 0.1756
KB relative information score
0.2138 ± 0.0533
Mean absolute error
0.362 ± 0.0169
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
0.8347 ± 0.0602
Per class
Predictive accuracy
0.8186 ± 0.065
Prior entropy
0.9274 ± 0.0078
Recall
0.8186 ± 0.065
Per class
Relative absolute error
0.8031 ± 0.0375
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4038 ± 0.0216
Root relative squared error
0.8508 ± 0.0451
SciMark benchmark
913.9348
UserCPU time millis
230
UserCPU time millis testing
230