Run
126

Run 126

Task 72 (Learning Curve) breast-cancer 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
0.5814 ± 0.088
Per class
F measure
0.6876 ± 0.0651
Per class
Kappa
0.2198 ± 0.1578
KB relative information score
0.1059 ± 0.0831
Mean absolute error
0.376 ± 0.0277
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.7157 ± 0.102
Per class
Predictive accuracy
0.7343 ± 0.0542
Prior entropy
0.8779 ± 0.0199
Recall
0.7343 ± 0.0542
Per class
Relative absolute error
0.8987 ± 0.0642
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.449 ± 0.035
Root relative squared error
0.9825 ± 0.0742
SciMark benchmark
1929.5759