DEVELOPMENT... OpenML
Run
168825

Run 168825

Task 3794 (Supervised Classification) disclosure_z 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
0.5647
Per class
F measure
0.5553
Per class
Kappa
0.1078
KB relative information score
24.6846
Mean absolute error
0.4837
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5551
Per class
Predictive accuracy
0.5559
Prior entropy
0.9981
Recall
0.5559
Per class
Relative absolute error
0.9699
Root mean prior squared error
0.4993
Root mean squared error
0.5047
Root relative squared error
1.0108
SciMark benchmark
927.0753
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10