Run
24147

Run 24147

Task 63 (Learning Curve) kr-vs-kp 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
0.9982 ± 0.0025
Per class
F measure
0.9941 ± 0.0046
Per class
Kappa
0.9882 ± 0.0092
KB relative information score
0.9831 ± 0.0092
Mean absolute error
0.0093 ± 0.0046
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.32-desktop]
Precision
0.9941 ± 0.0045
Per class
Predictive accuracy
0.9941 ± 0.0046
Prior entropy
0.9986 ± 0.0002
Recall
0.9941 ± 0.0046
Per class
Relative absolute error
0.0187 ± 0.0092
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0758 ± 0.0327
Root relative squared error
0.1518 ± 0.0654
SciMark benchmark
1951.8137[1212.11996336647371635.091146371386917.33609279086661711.12264297255024283.398772907857]