Run
50576

Run 50576

Task 1701 (Learning Curve) anneal Uploaded 06-11-2014 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
0.9727 ± 0.0209
Per class
Build CPU time
0.1409
Build memory
269732237.9556
F measure
0.9368 ± 0.0306
Per class
Kappa
0.8418 ± 0.0677
KB relative information score
0.7391 ± 0.0628
Mean absolute error
0.0469 ± 0.0085
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9368 ± 0.0309
Per class
Predictive accuracy
0.9376 ± 0.0262
Prior entropy
1.1915 ± 0.026
Recall
0.9376 ± 0.0262
Per class
Relative absolute error
0.3491 ± 0.0625
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1366 ± 0.0217
Root relative squared error
0.5291 ± 0.0828
SciMark benchmark
1624.8488