DEVELOPMENT... OpenML
Run
166690

Run 166690

Task 3510 (Supervised Classification) JapaneseVowels Uploaded 18-02-2015 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)_I80
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
0.9793
Per class
F measure
0.8822
Per class
Kappa
0.8676
KB relative information score
7900.1794
Mean absolute error
0.0633
Mean prior absolute error
0.1962
Number of instances
9961
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8817
Per class
Predictive accuracy
0.8832
Prior entropy
3.1321
Recall
0.8832
Per class
Relative absolute error
0.3227
Root mean prior squared error
0.3132
Root mean squared error
0.1465
Root relative squared error
0.4678
SciMark benchmark
911.0478
UserCPU time millis
6930
UserCPU time millis testing
2150
UserCPU time millis training
4780