DEVELOPMENT... OpenML
Run
167365

Run 167365

Task 3011 (Supervised Classification) hypothyroid Uploaded 19-02-2015 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)_I40
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
0.8573
Per class
F measure
0.9461
Per class
Kappa
0.61
KB relative information score
-1341.6359
Mean absolute error
0.065
Mean prior absolute error
0.0729
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9472
Per class
Predictive accuracy
0.9533
Prior entropy
0.4715
Recall
0.9533
Per class
Relative absolute error
0.8926
Root mean prior squared error
0.1904
Root mean squared error
0.1521
Root relative squared error
0.7988
SciMark benchmark
942.6953
UserCPU time millis
920
UserCPU time millis testing
270
UserCPU time millis training
650