Run
702

Run 702

Task 91 (Learning Curve) pendigits Uploaded 08-04-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9845 ± 0.0029
Per class
F measure
0.9651 ± 0.0052
Per class
Kappa
0.9612 ± 0.0058
KB relative information score
0.9619 ± 0.0052
Mean absolute error
0.008 ± 0.001
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.9651 ± 0.0051
Per class
Predictive accuracy
0.965 ± 0.0052
Prior entropy
3.3208 ± 0.0002
Recall
0.965 ± 0.0052
Per class
Relative absolute error
0.0445 ± 0.0056
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0816 ± 0.0059
Root relative squared error
0.2719 ± 0.0198
SciMark benchmark
942.5933