Run
477729

Run 477729

Task 10051 (Learning Curve) gina_prior 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
0.8805 ± 0.0233
Per class
F measure
0.8867 ± 0.0177
Per class
Kappa
0.7732 ± 0.0354
KB relative information score
2643.0143 ± 12.3282
Mean absolute error
0.121 ± 0.0179
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8867 ± 0.0177
Per class
Predictive accuracy
0.8867 ± 0.0177
Prior entropy
0.9998
Recall
0.8867 ± 0.0177
Per class
Relative absolute error
0.2421 ± 0.0357
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.3294 ± 0.025
Root relative squared error
0.659 ± 0.05
SciMark benchmark
1694.1814
UserCPU time millis
4400
UserCPU time millis testing
10
UserCPU time millis training
4390