DEVELOPMENT... OpenML
Run
168870

Run 168870

Task 3834 (Supervised Classification) mfeat-fourier Uploaded 20-02-2015 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)_I10
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
0.9872
Per class
F measure
0.995
Per class
Kappa
0.9718
KB relative information score
1923.5535
Mean absolute error
0.0049
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.995
Per class
Predictive accuracy
0.995
Prior entropy
0.4703
Recall
0.995
Per class
Relative absolute error
0.027
Root mean prior squared error
0.3
Root mean squared error
0.0689
Root relative squared error
0.2298
SciMark benchmark
931.2336
UserCPU time millis
2060
UserCPU time millis testing
640
UserCPU time millis training
1420

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