Run
61484

Run 61484

Task 1728 (Learning Curve) credit-approval Uploaded 16-11-2014 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_BFTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_C3
weka.MultiBoostAB_BFTree(2)_P100
weka.MultiBoostAB_BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_I10
weka.MultiBoostAB_BFTree(2)_Wweka.classifiers.trees.BFTree

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
0.9142 ± 0.0512
Per class
Build CPU time
0.2666
Build memory
2398531974.5
F measure
0.848 ± 0.042
Per class
Kappa
0.6926 ± 0.0841
KB relative information score
0.69 ± 0.0883
Mean absolute error
0.1521 ± 0.0434
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8483 ± 0.0411
Per class
Predictive accuracy
0.8478 ± 0.0423
Prior entropy
0.9912 ± 0.0022
Recall
0.8478 ± 0.0423
Per class
Relative absolute error
0.308 ± 0.0881
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3794 ± 0.0536
Root relative squared error
0.7634 ± 0.1081
SciMark benchmark
1645.3141