DEVELOPMENT... OpenML
Run
168355

Run 168355

Task 3806 (Supervised Classification) fri_c0_500_10 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
0.9588
Per class
F measure
0.8859
Per class
Kappa
0.7715
KB relative information score
382.5482
Mean absolute error
0.1177
Mean prior absolute error
0.4994
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8861
Per class
Predictive accuracy
0.886
Prior entropy
0.9991
Recall
0.886
Per class
Relative absolute error
0.2357
Root mean prior squared error
0.4997
Root mean squared error
0.3183
Root relative squared error
0.637
SciMark benchmark
945.6434
UserCPU time millis
150
UserCPU time millis testing
40
UserCPU time millis training
110