Run
61494

Run 61494

Task 1736 (Learning Curve) diabetes 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
0.7993 ± 0.0575
Per class
Build CPU time
0.0952
Build memory
1986214659.7
F measure
0.7365 ± 0.0381
Per class
Kappa
0.4147 ± 0.0892
KB relative information score
0.4046 ± 0.0659
Mean absolute error
0.2599 ± 0.0288
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.735 ± 0.0391
Per class
Predictive accuracy
0.7396 ± 0.0345
Prior entropy
0.9331 ± 0.0046
Recall
0.7396 ± 0.0345
Per class
Relative absolute error
0.5719 ± 0.0629
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4831 ± 0.0255
Root relative squared error
1.0135 ± 0.0526
SciMark benchmark
1567.5641