Run
770

Run 770

Task 68 (Learning Curve) autos Uploaded 08-04-2014 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
0.9156 ± 0.054
Per class
F measure
0.8171 ± 0.0925
Per class
Kappa
0.7627 ± 0.1202
KB relative information score
0.7703 ± 0.1009
Mean absolute error
0.0628 ± 0.0248
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8231 ± 0.074
Per class
Predictive accuracy
0.8171 ± 0.0935
Prior entropy
2.2802 ± 0.0732
Recall
0.8171 ± 0.0935
Per class
Relative absolute error
0.2843 ± 0.1121
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.2113 ± 0.0516
Root relative squared error
0.637 ± 0.1557
SciMark benchmark
739.5803