Run
641

Run 641

Task 75 (Learning Curve) mfeat-karhunen Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(1)_C0.25
weka.J48(1)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9101 ± 0.0154
Per class
F measure
0.8188 ± 0.028
Per class
Kappa
0.7989 ± 0.0303
KB relative information score
0.8115 ± 0.028
Mean absolute error
0.0383 ± 0.0052
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8186 ± 0.0282
Per class
Predictive accuracy
0.8191 ± 0.0273
Prior entropy
3.3219
Recall
0.8191 ± 0.0273
Per class
Relative absolute error
0.2126 ± 0.029
Root mean prior squared error
0.3
Root mean squared error
0.1821 ± 0.0146
Root relative squared error
0.607 ± 0.0485
SciMark benchmark
711.0733