Run
50721

Run 50721

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.REPTree(5)Weka implementation of REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.9604 ± 0.0106
Per class
Build CPU time
0.0271
Build memory
393143059.2571
F measure
0.9258 ± 0.0087
Per class
Kappa
0.8444 ± 0.018
KB relative information score
0.7934 ± 0.0203
Mean absolute error
0.1051 ± 0.0098
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
0.9257 ± 0.0087
Per class
Predictive accuracy
0.9259 ± 0.0088
Prior entropy
0.9674 ± 0.0006
Recall
0.9259 ± 0.0088
Per class
Relative absolute error
0.22 ± 0.0206
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2478 ± 0.0161
Root relative squared error
0.507 ± 0.0331
SciMark benchmark
1955.1311