Run
54270

Run 54270

Task 1742 (Learning Curve) spambase Uploaded 08-11-2014 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.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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
0.7665 ± 0.0238
Per class
Build CPU time
0.0071
Build memory
1214378924.7429
F measure
0.7817 ± 0.0229
Per class
Kappa
0.5402 ± 0.0484
KB relative information score
0.5372 ± 0.0486
Mean absolute error
0.2167 ± 0.0228
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7814 ± 0.0235
Per class
Predictive accuracy
0.7833 ± 0.0228
Prior entropy
0.9674 ± 0.0006
Recall
0.7833 ± 0.0228
Per class
Relative absolute error
0.4538 ± 0.0476
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.4655 ± 0.0241
Root relative squared error
0.9526 ± 0.0493
SciMark benchmark
1615.5755