Run
1036

Run 1036

Task 98 (Learning Curve) sonar Uploaded 09-04-2014 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
0.7372 ± 0.112
Per class
F measure
0.7212 ± 0.1041
Per class
Kappa
0.4398 ± 0.2037
KB relative information score
0.4384 ± 0.198
Mean absolute error
0.2794 ± 0.0977
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7212 ± 0.1045
Per class
Predictive accuracy
0.7212 ± 0.1014
Prior entropy
0.9967 ± 0.0043
Recall
0.7212 ± 0.1014
Per class
Relative absolute error
0.5613 ± 0.1962
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.5131 ± 0.0961
Root relative squared error
1.0284 ± 0.1927
SciMark benchmark
880.2104