Run
50610

Run 50610

Task 1742 (Learning Curve) spambase 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
0.9719 ± 0.0061
Per class
Build CPU time
0.2853
Build memory
273029562.6857
F measure
0.9294 ± 0.0107
Per class
Kappa
0.8517 ± 0.0226
KB relative information score
0.7755 ± 0.0162
Mean absolute error
0.1149 ± 0.0072
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9295 ± 0.0107
Per class
Predictive accuracy
0.9296 ± 0.0106
Prior entropy
0.9674 ± 0.0006
Recall
0.9296 ± 0.0106
Per class
Relative absolute error
0.2406 ± 0.0151
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2368 ± 0.0138
Root relative squared error
0.4846 ± 0.0284
SciMark benchmark
1948.3582