DEVELOPMENT... OpenML
Run
40300

Run 40300

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)_I80
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
0.8166
Per class
Build CPU time
2.0639
Build memory
272949030.5833
F measure
0.7615
Per class
Kappa
0.472
KB relative information score
345.9181
Mean absolute error
0.2403
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
0.7605
Per class
Predictive accuracy
0.763
Prior entropy
0.9335
Recall
0.763
Per class
Relative absolute error
0.5287
Root mean prior squared error
0.4766
Root mean squared error
0.47
Root relative squared error
0.9861
SciMark benchmark
938.0657