DEVELOPMENT... OpenML
Run
167989

Run 167989

Task 22 (Supervised Classification) mfeat-zernike 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)_I20
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
0.9029
Per class
F measure
0.7369
Per class
Kappa
0.7089
KB relative information score
1006.3853
Mean absolute error
0.1212
Mean prior absolute error
0.18
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
0.737
Per class
Predictive accuracy
0.738
Prior entropy
3.3219
Recall
0.738
Per class
Relative absolute error
0.6732
Root mean prior squared error
0.3
Root mean squared error
0.2316
Root relative squared error
0.7721
SciMark benchmark
911.3823
UserCPU time millis
3290
UserCPU time millis testing
980
UserCPU time millis training
2310