Run
477805

Run 477805

Task 1728 (Learning Curve) credit-approval 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
0.8564 ± 0.0507
Per class
F measure
0.8581 ± 0.0472
Per class
Kappa
0.713 ± 0.0962
KB relative information score
427.0116 ± 4.7708
Mean absolute error
0.2011 ± 0.0312
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8584 ± 0.0481
Per class
Predictive accuracy
0.858 ± 0.0472
Prior entropy
0.9913
Recall
0.858 ± 0.0472
Per class
Relative absolute error
0.4071 ± 0.0634
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3486 ± 0.054
Root relative squared error
0.7014 ± 0.1088
SciMark benchmark
1692.1465
UserCPU time millis
10
UserCPU time millis training
10