Run
477720

Run 477720

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)_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
0.8452 ± 0.0331
Per class
F measure
0.9132 ± 0.007
Per class
Kappa
0.137 ± 0.0828
KB relative information score
-3468.0793 ± 186.4093
Mean absolute error
0.1028 ± 0.0074
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
0.9068 ± 0.0124
Per class
Predictive accuracy
0.9328 ± 0.0065
Prior entropy
0.3444
Recall
0.9328 ± 0.0065
Per class
Relative absolute error
0.8543 ± 0.0596
Root mean prior squared error
0.2452 ± 0.0008
Root mean squared error
0.2358 ± 0.0102
Root relative squared error
0.962 ± 0.041
SciMark benchmark
1766.1121
UserCPU time millis
200
UserCPU time millis training
200