Run
24148

Run 24148

Task 64 (Learning Curve) labor Uploaded 30-06-2014 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
0.719 ± 0.2094
Per class
F measure
0.7944 ± 0.148
Per class
Kappa
0.5409 ± 0.3415
KB relative information score
0.423 ± 0.2868
Mean absolute error
0.2719 ± 0.118
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.32-desktop]
Precision
0.7968 ± 0.1352
Per class
Predictive accuracy
0.8 ± 0.1433
Prior entropy
0.9349 ± 0.0618
Recall
0.8 ± 0.1433
Per class
Relative absolute error
0.5949 ± 0.2607
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.4229 ± 0.1638
Root relative squared error
0.8861 ± 0.3456
SciMark benchmark
1951.8137[1212.11996336647371635.091146371386917.33609279086661711.12264297255024283.398772907857]