DEVELOPMENT... OpenML
Run
19173

Run 19173

Task 37 (Supervised Classification) diabetes Uploaded 12-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I10
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7977
Per class
F measure
0.7543
Per class
Kappa
0.4552
KB relative information score
328.167
Mean absolute error
0.2509
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7531
Per class
Predictive accuracy
0.7565
Prior entropy
0.9335
Recall
0.7565
Per class
Relative absolute error
0.552
Root mean prior squared error
0.4766
Root mean squared error
0.478
Root relative squared error
1.0029
SciMark benchmark
912.4544[544.7347167751633981.387880075562465.62958658471547874.98002788765421695.5397105603838]