Run
50590

Run 50590

Task 1722 (Learning Curve) cmc 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
0.7203 ± 0.0185
Per class
Build CPU time
0.1213
Build memory
247939670.88
F measure
0.5416 ± 0.0391
Per class
Kappa
0.288 ± 0.0615
KB relative information score
0.2093 ± 0.0182
Mean absolute error
0.3723 ± 0.0083
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5428 ± 0.0426
Per class
Predictive accuracy
0.5431 ± 0.04
Prior entropy
1.539 ± 0.0029
Recall
0.5431 ± 0.04
Per class
Relative absolute error
0.8641 ± 0.0199
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4318 ± 0.0061
Root relative squared error
0.9304 ± 0.0133
SciMark benchmark
1648.2431