Run
50578

Run 50578

Task 1714 (Learning Curve) breast-w 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
0.9882 ± 0.0092
Per class
Build CPU time
0.015
Build memory
1013153866.2
F measure
0.957 ± 0.0221
Per class
Kappa
0.9048 ± 0.0486
KB relative information score
0.8568 ± 0.0501
Mean absolute error
0.0683 ± 0.0211
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.957 ± 0.022
Per class
Predictive accuracy
0.9571 ± 0.0223
Prior entropy
0.9293 ± 0.0043
Recall
0.9571 ± 0.0223
Per class
Relative absolute error
0.1511 ± 0.0468
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1874 ± 0.0455
Root relative squared error
0.3943 ± 0.0955
SciMark benchmark
1367.6268