DEVELOPMENT... OpenML
Run
38608

Run 38608

Task 4361 (Supervised Classification) diabetes_numeric 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
0.5971
Per class
Build CPU time
0.0364
Build memory
669796466.7163
F measure
0.594
Per class
Kappa
0.1531
KB relative information score
58.4111
Mean absolute error
0.4062
Mean prior absolute error
0.4791
Number of instances
430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5951
Per class
Predictive accuracy
0.593
Prior entropy
0.971
Recall
0.593
Per class
Relative absolute error
0.8479
Root mean prior squared error
0.4889
Root mean squared error
0.6344
Root relative squared error
1.2976
SciMark benchmark
939.9671