Run
477785

Run 477785

Task 10082 (Learning Curve) pc3 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
0.6554 ± 0.1157
Per class
F measure
0.8669 ± 0.024
Per class
Kappa
0.2077 ± 0.1433
KB relative information score
-44.5313 ± 29.9831
Mean absolute error
0.1534 ± 0.0243
Mean prior absolute error
0.1842 ± 0.0023
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8577 ± 0.0294
Per class
Predictive accuracy
0.881 ± 0.0255
Prior entropy
0.478
Recall
0.881 ± 0.0255
Per class
Relative absolute error
0.8329 ± 0.1316
Root mean prior squared error
0.3031 ± 0.0038
Root mean squared error
0.3242 ± 0.0349
Root relative squared error
1.0696 ± 0.1169
SciMark benchmark
1712.9154
UserCPU time millis
50
UserCPU time millis training
50