Run
24146

Run 24146

Task 62 (Learning Curve) anneal 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
0.9748 ± 0.0175
Per class
F measure
0.9236 ± 0.0282
Per class
Kappa
0.8076 ± 0.0738
KB relative information score
0.7645 ± 0.0594
Mean absolute error
0.0402 ± 0.0077
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.32-desktop]
Precision
0.9246 ± 0.0281
Per class
Predictive accuracy
0.9261 ± 0.0275
Prior entropy
1.1915 ± 0.0248
Recall
0.9261 ± 0.0275
Per class
Relative absolute error
0.2991 ± 0.0573
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1364 ± 0.0212
Root relative squared error
0.5281 ± 0.0821
SciMark benchmark
1951.8137[1212.11996336647371635.091146371386917.33609279086661711.12264297255024283.398772907857]