Run
51007

Run 51007

Task 1735 (Learning Curve) segment 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.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
0.9945 ± 0.0039
Per class
Build CPU time
0.5388
Build memory
566706778.4
F measure
0.9775 ± 0.0115
Per class
Kappa
0.9737 ± 0.0134
KB relative information score
0.9758 ± 0.0125
Mean absolute error
0.0067 ± 0.0034
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9775 ± 0.0113
Per class
Predictive accuracy
0.9775 ± 0.0115
Prior entropy
2.8074
Recall
0.9775 ± 0.0115
Per class
Relative absolute error
0.0272 ± 0.0137
Root mean prior squared error
0.3499
Root mean squared error
0.0782 ± 0.0212
Root relative squared error
0.2234 ± 0.0605
SciMark benchmark
1885.6155