Run
792

Run 792

Task 87 (Learning Curve) optdigits 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
0.9537 ± 0.0065
Per class
F measure
0.905 ± 0.0123
Per class
Kappa
0.8944 ± 0.0136
KB relative information score
0.8995 ± 0.0119
Mean absolute error
0.0209 ± 0.0023
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.905 ± 0.0121
Per class
Predictive accuracy
0.905 ± 0.0123
Prior entropy
3.3218 ± 0.0001
Recall
0.905 ± 0.0123
Per class
Relative absolute error
0.1158 ± 0.0128
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1321 ± 0.0081
Root relative squared error
0.4404 ± 0.0269
SciMark benchmark
890.2551