DEVELOPMENT... OpenML
Run
44164

Run 44164

Task 37 (Supervised Classification) diabetes Uploaded 29-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I160
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7924
Per class
Build CPU time
4.6814
Build memory
595546328.6979
F measure
0.7579
Per class
Kappa
0.4648
KB relative information score
340.3045
Mean absolute error
0.2437
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
0.757
Per class
Predictive accuracy
0.7591
Prior entropy
0.9335
Recall
0.7591
Per class
Relative absolute error
0.5361
Root mean prior squared error
0.4766
Root mean squared error
0.4781
Root relative squared error
1.003
SciMark benchmark
897.921