Run
486354

Run 486354

Task 10059 (Learning Curve) ipums_la_99-small Uploaded 02-12-2015 by Joaquin Vanschoren
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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)_C0.3
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
0.8323 ± 0.0345
Per class
F measure
0.9162 ± 0.0073
Per class
Kappa
0.1806 ± 0.0922
KB relative information score
-2629.5602 ± 99.9867
Mean absolute error
0.1002 ± 0.007
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9102 ± 0.0116
Per class
Predictive accuracy
0.9328 ± 0.0066
Prior entropy
0.3444
Recall
0.9328 ± 0.0066
Per class
Relative absolute error
0.8328 ± 0.0567
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2376 ± 0.0107
Root relative squared error
0.9691 ± 0.0432
SciMark benchmark
812.774
UserCPU time millis
470
UserCPU time millis testing
10
UserCPU time millis training
460