DEVELOPMENT... OpenML
Run
165656

Run 165656

Task 37 (Supervised Classification) diabetes Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I160
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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.

22 Evaluation measures

Area under ROC curve
0.8031
Per class
F measure
0.761
Per class
Kappa
0.4666
KB relative information score
270.7828
Mean absolute error
0.2969
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
0.7604
Per class
Predictive accuracy
0.7656
Prior entropy
0.9335
Recall
0.7656
Per class
Relative absolute error
0.6532
Root mean prior squared error
0.4766
Root mean squared error
0.4162
Root relative squared error
0.8732
SciMark benchmark
945.6434
UserCPU time millis
160
UserCPU time millis testing
40
UserCPU time millis training
120