Run
54239

Run 54239

Task 1742 (Learning Curve) spambase Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_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.

21 Evaluation measures

Area under ROC curve
0.9342 ± 0.0237
Per class
Build CPU time
0.0705
Build memory
1919974530.6857
F measure
0.9261 ± 0.0192
Per class
Kappa
0.8451 ± 0.0403
KB relative information score
0.8124 ± 0.0389
Mean absolute error
0.0933 ± 0.0179
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.926 ± 0.0193
Per class
Predictive accuracy
0.9261 ± 0.0192
Prior entropy
0.9674 ± 0.0006
Recall
0.9261 ± 0.0192
Per class
Relative absolute error
0.1955 ± 0.0375
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2618 ± 0.0352
Root relative squared error
0.5357 ± 0.072
SciMark benchmark
1615.5755