Run
437592

Run 437592

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

weka.OneR(17)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(17)_B6

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
0.7935 ± 0.043
Per class
F measure
0.794 ± 0.0469
Per class
Kappa
0.5939 ± 0.0871
KB relative information score
0.5984 ± 0.0864
Mean absolute error
0.2004 ± 0.0432
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
0.8258 ± 0.0388
Per class
Predictive accuracy
0.7996 ± 0.0432
Prior entropy
0.9989 ± 0.0008
Recall
0.7996 ± 0.0432
Per class
Relative absolute error
0.4014 ± 0.0864
Root mean prior squared error
0.4996 ± 0.0003
Root mean squared error
0.4476 ± 0.0469
Root relative squared error
0.8959 ± 0.0937
SciMark benchmark
913.9348