Run
46821

Run 46821

Task 1742 (Learning Curve) spambase Uploaded 04-11-2014 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.MultiBoostAB_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.9655 ± 0.0056
Per class
Build CPU time
0.0543
Build memory
619554103.7714
F measure
0.9532 ± 0.009
Per class
Kappa
0.9019 ± 0.0189
KB relative information score
0.8985 ± 0.0183
Mean absolute error
0.0477 ± 0.0084
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
0.9532 ± 0.0092
Per class
Predictive accuracy
0.9533 ± 0.0091
Prior entropy
0.9674 ± 0.0006
Recall
0.9533 ± 0.0091
Per class
Relative absolute error
0.0998 ± 0.0177
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2144 ± 0.0194
Root relative squared error
0.4388 ± 0.0397
SciMark benchmark
1508.8083