DEVELOPMENT... OpenML
Run
168392

Run 168392

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.6021
Per class
F measure
0.4796
Per class
Kappa
0.1353
KB relative information score
14.8132
Mean absolute error
0.4722
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6503
Per class
Predictive accuracy
0.5366
Prior entropy
0.992
Recall
0.5366
Per class
Relative absolute error
0.955
Root mean prior squared error
0.4972
Root mean squared error
0.5706
Root relative squared error
1.1476
SciMark benchmark
938.2848
UserCPU time millis
10
UserCPU time millis training
10