Run
437694

Run 437694

Task 7536 (Learning Curve) monks-problems-3 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
0.9856 ± 0.0137
Per class
F measure
0.9729 ± 0.0195
Per class
Kappa
0.9458 ± 0.0389
KB relative information score
0.6075 ± 0.033
Mean absolute error
0.2312 ± 0.0163
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
0.9731 ± 0.0187
Per class
Predictive accuracy
0.9729 ± 0.0195
Prior entropy
0.9989 ± 0.0008
Recall
0.9729 ± 0.0195
Per class
Relative absolute error
0.463 ± 0.0325
Root mean prior squared error
0.4996 ± 0.0003
Root mean squared error
0.2555 ± 0.0203
Root relative squared error
0.5113 ± 0.0404
SciMark benchmark
941.3619
UserCPU time millis
190
UserCPU time millis testing
190