Run
486352

Run 486352

Task 7535 (Learning Curve) monks-problems-2 Uploaded 02-12-2015 by Joaquin Vanschoren
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.3
weka.J48(33)_M2

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
0.6468 ± 0.0622
Per class
F measure
0.6026 ± 0.0387
Per class
Kappa
0.0961 ± 0.0855
KB relative information score
41.1207 ± 3.4438
Mean absolute error
0.4093 ± 0.0246
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.596 ± 0.0431
Per class
Predictive accuracy
0.624 ± 0.0361
Prior entropy
0.9279
Recall
0.624 ± 0.0361
Per class
Relative absolute error
0.9082 ± 0.0546
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.5001 ± 0.0213
Root relative squared error
1.0536 ± 0.0468
SciMark benchmark
812.774