Run
50575

Run 50575

Task 1710 (Learning Curve) balance-scale 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.

19 Evaluation measures

Area under ROC curve
0.9558 ± 0.0116
Per class
Build CPU time
0.0326
Build memory
959707978.8
Kappa
0.7893 ± 0.047
KB relative information score
0.5462 ± 0.0337
Mean absolute error
0.1682 ± 0.0145
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.8864 ± 0.0256
Prior entropy
1.3181 ± 0.0124
Recall
0.8864 ± 0.0256
Per class
Relative absolute error
0.443 ± 0.0381
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2576 ± 0.0142
Root relative squared error
0.5915 ± 0.032
SciMark benchmark
1367.6268