DEVELOPMENT... OpenML
Run
50997

Run 50997

Task 1742 (Learning Curve) spambase Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_OneR(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.OneR(3)_B6
weka.MultiBoostAB_OneR(2)_C3
weka.MultiBoostAB_OneR(2)_P100
weka.MultiBoostAB_OneR(2)_S1
weka.MultiBoostAB_OneR(2)_I10
weka.MultiBoostAB_OneR(2)_Wweka.classifiers.rules.OneR

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
0.8649 ± 0.0159
Per class
Build CPU time
0.0622
Build memory
691139458.6286
F measure
0.8031 ± 0.0164
Per class
Kappa
0.5853 ± 0.0351
KB relative information score
0.566 ± 0.0306
Mean absolute error
0.2051 ± 0.0139
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
0.8031 ± 0.0163
Per class
Predictive accuracy
0.8046 ± 0.016
Prior entropy
0.9674 ± 0.0006
Recall
0.8046 ± 0.016
Per class
Relative absolute error
0.4295 ± 0.0292
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.4125 ± 0.0176
Root relative squared error
0.8442 ± 0.036
SciMark benchmark
1645.1824