Run
477863

Run 477863

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)_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
0.8264 ± 0.0235
Per class
F measure
0.8578 ± 0.0068
Per class
Kappa
0.0999 ± 0.0457
KB relative information score
-2029.6891 ± 43.7066
Mean absolute error
0.1542 ± 0.0058
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
0.8689 ± 0.0157
Per class
Predictive accuracy
0.8967 ± 0.0039
Prior entropy
0.4871
Recall
0.8967 ± 0.0039
Per class
Relative absolute error
0.8153 ± 0.0305
Root mean prior squared error
0.3074 ± 0.0005
Root mean squared error
0.2828 ± 0.0068
Root relative squared error
0.9198 ± 0.0215
SciMark benchmark
1692.1465
UserCPU time millis
260
UserCPU time millis training
260