Run
54924

Run 54924

Task 1728 (Learning Curve) credit-approval Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.ClassificationViaRegression_M5P(2)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.M5P(2)_M4.0
weka.ClassificationViaRegression_M5P(2)_Wweka.classifiers.trees.M5P

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.

21 Evaluation measures

Area under ROC curve
0.9295 ± 0.039
Per class
Build CPU time
0.0519
Build memory
360440557.4
F measure
0.8582 ± 0.059
Per class
Kappa
0.7137 ± 0.1198
KB relative information score
0.6312 ± 0.0899
Mean absolute error
0.1922 ± 0.0421
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8592 ± 0.0582
Per class
Predictive accuracy
0.858 ± 0.0587
Prior entropy
0.9912 ± 0.0022
Recall
0.858 ± 0.0587
Per class
Relative absolute error
0.3891 ± 0.0853
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3144 ± 0.0562
Root relative squared error
0.6327 ± 0.1135
SciMark benchmark
1606.2579