DEVELOPMENT... OpenML
Run
36885

Run 36885

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)_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
0.615
Per class
Build CPU time
0.0196
Build memory
44635993.8791
F measure
0.619
Per class
Kappa
0.2039
KB relative information score
80.2508
Mean absolute error
0.3826
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
0.6194
Per class
Predictive accuracy
0.6186
Prior entropy
0.971
Recall
0.6186
Per class
Relative absolute error
0.7986
Root mean prior squared error
0.4889
Root mean squared error
0.6107
Root relative squared error
1.2491
SciMark benchmark
942.9632