Run
53148

Run 53148

Task 1730 (Learning Curve) credit-g Uploaded 08-11-2014 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
0.7618 ± 0.0323
Per class
Build CPU time
0.0841
Build memory
1691016063.9111
F measure
0.7403 ± 0.0287
Per class
Kappa
0.3641 ± 0.0722
KB relative information score
0.1881 ± 0.0354
Mean absolute error
0.3334 ± 0.0143
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7381 ± 0.0292
Per class
Predictive accuracy
0.751 ± 0.026
Prior entropy
0.8813
Recall
0.751 ± 0.026
Per class
Relative absolute error
0.7936 ± 0.0341
Root mean prior squared error
0.4583
Root mean squared error
0.4159 ± 0.0141
Root relative squared error
0.9075 ± 0.0308
SciMark benchmark
1914.93