Run
54581

Run 54581

Task 1736 (Learning Curve) diabetes Uploaded 09-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_BFTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.777 ± 0.0433
Per class
Build CPU time
0.0988
Build memory
1418743639.7
F measure
0.7218 ± 0.0551
Per class
Kappa
0.3889 ± 0.128
KB relative information score
0.3721 ± 0.1063
Mean absolute error
0.2739 ± 0.0454
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7223 ± 0.0578
Per class
Predictive accuracy
0.7214 ± 0.0521
Prior entropy
0.9331 ± 0.0046
Recall
0.7214 ± 0.0521
Per class
Relative absolute error
0.6026 ± 0.1001
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4904 ± 0.0446
Root relative squared error
1.0288 ± 0.0938
SciMark benchmark
1885.6155