DEVELOPMENT... OpenML
Run
37126

Run 37126

Task 37 (Supervised Classification) diabetes Uploaded 28-10-2014 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)_I20
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
0.825
Per class
Build CPU time
0.681
Build memory
1476105315.5833
F measure
0.7534
Per class
Kappa
0.4537
KB relative information score
345.3729
Mean absolute error
0.2397
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
0.7522
Per class
Predictive accuracy
0.7552
Prior entropy
0.9335
Recall
0.7552
Per class
Relative absolute error
0.5273
Root mean prior squared error
0.4766
Root mean squared error
0.4656
Root relative squared error
0.9768
SciMark benchmark
941.5665