DEVELOPMENT... OpenML
Run
38865

Run 38865

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)_I40
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
0.8213
Per class
Build CPU time
1.0875
Build memory
35414184.3438
F measure
0.7522
Per class
Kappa
0.4513
KB relative information score
337.6225
Mean absolute error
0.2445
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
0.7511
Per class
Predictive accuracy
0.7539
Prior entropy
0.9335
Recall
0.7539
Per class
Relative absolute error
0.5379
Root mean prior squared error
0.4766
Root mean squared error
0.469
Root relative squared error
0.9839
SciMark benchmark
935.2997