Run
477719

Run 477719

Task 10058 (Learning Curve) ipums_la_98-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)_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
0.8284 ± 0.0205
Per class
F measure
0.8586 ± 0.0058
Per class
Kappa
0.1055 ± 0.0408
KB relative information score
-2075.5934 ± 42.8077
Mean absolute error
0.1547 ± 0.0055
Mean prior absolute error
0.1891 ± 0.0003
Number of instances
7485
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8699 ± 0.0199
Per class
Predictive accuracy
0.897 ± 0.0036
Prior entropy
0.4871
Recall
0.897 ± 0.0036
Per class
Relative absolute error
0.8181 ± 0.0287
Root mean prior squared error
0.3074 ± 0.0005
Root mean squared error
0.2824 ± 0.0065
Root relative squared error
0.9186 ± 0.0208
SciMark benchmark
1767.5245
UserCPU time millis
240
UserCPU time millis training
240