Run
477864

Run 477864

Task 10059 (Learning Curve) ipums_la_99-small 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
0.8338 ± 0.0309
Per class
F measure
0.9144 ± 0.0048
Per class
Kappa
0.15 ± 0.0752
KB relative information score
-3192.7321 ± 177.2077
Mean absolute error
0.1005 ± 0.0051
Mean prior absolute error
0.1203 ± 0.0004
Number of instances
8844
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9088 ± 0.0123
Per class
Predictive accuracy
0.9335 ± 0.0047
Prior entropy
0.3444
Recall
0.9335 ± 0.0047
Per class
Relative absolute error
0.8352 ± 0.0415
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2372 ± 0.0095
Root relative squared error
0.9676 ± 0.0392
SciMark benchmark
1692.1465
UserCPU time millis
230
UserCPU time millis testing
10
UserCPU time millis training
220