Run
750

Run 750

Task 90 (Learning Curve) credit-g 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
0.6363 ± 0.0648
Per class
F measure
0.6956 ± 0.0433
Per class
Kappa
0.2543 ± 0.1058
KB relative information score
0.1614 ± 0.0807
Mean absolute error
0.3445 ± 0.0287
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.6906 ± 0.0471
Per class
Predictive accuracy
0.7085 ± 0.0416
Prior entropy
0.8813
Recall
0.7085 ± 0.0416
Per class
Relative absolute error
0.8199 ± 0.0684
Root mean prior squared error
0.4583
Root mean squared error
0.4782 ± 0.0319
Root relative squared error
1.0434 ± 0.0696
SciMark benchmark
891.6699