Run
477714

Run 477714

Task 10054 (Learning Curve) jm1 Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.25
weka.J48(33)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6746 ± 0.03
Per class
F measure
0.7683 ± 0.0081
Per class
Kappa
0.1967 ± 0.0343
KB relative information score
684.8408 ± 22.6802
Mean absolute error
0.2668 ± 0.0048
Mean prior absolute error
0.3121 ± 0.0003
Number of instances
10885
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.7587 ± 0.0102
Per class
Predictive accuracy
0.795 ± 0.0061
Prior entropy
0.7088
Recall
0.795 ± 0.0061
Per class
Relative absolute error
0.8547 ± 0.0159
Root mean prior squared error
0.395 ± 0.0003
Root mean squared error
0.404 ± 0.0081
Root relative squared error
1.0226 ± 0.0209
SciMark benchmark
1658.7981
UserCPU time millis
490
UserCPU time millis testing
10
UserCPU time millis training
480