DEVELOPMENT... OpenML
Run
166623

Run 166623

Task 2079 (Supervised Classification) eucalyptus 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
0.7587
Per class
F measure
0.5946
Per class
Kappa
0.4804
KB relative information score
153.001
Mean absolute error
0.2815
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6578
Per class
Predictive accuracy
0.5951
Prior entropy
2.2629
Recall
0.5951
Per class
Relative absolute error
0.8987
Root mean prior squared error
0.3957
Root mean squared error
0.3618
Root relative squared error
0.9143
SciMark benchmark
942.6953
UserCPU time millis
210
UserCPU time millis testing
60
UserCPU time millis training
150