Run
477860

Run 477860

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)_M1

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
0.6555 ± 0.0389
Per class
F measure
0.7681 ± 0.0109
Per class
Kappa
0.1989 ± 0.0438
KB relative information score
664.5131 ± 27.8806
Mean absolute error
0.2669 ± 0.0066
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
0.7581 ± 0.0133
Per class
Predictive accuracy
0.7931 ± 0.0079
Prior entropy
0.7088
Recall
0.7931 ± 0.0079
Per class
Relative absolute error
0.8551 ± 0.0214
Root mean prior squared error
0.395 ± 0.0003
Root mean squared error
0.4114 ± 0.0116
Root relative squared error
1.0415 ± 0.0296
SciMark benchmark
1656.8778
UserCPU time millis
450
UserCPU time millis testing
10
UserCPU time millis training
440