DEVELOPMENT... OpenML
Run
168822

Run 168822

Task 3789 (Supervised Classification) fri_c0_500_25 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
0.9141
Per class
F measure
0.8058
Per class
Kappa
0.6115
KB relative information score
314.1878
Mean absolute error
0.1847
Mean prior absolute error
0.4998
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
0.8064
Per class
Predictive accuracy
0.806
Prior entropy
0.9997
Recall
0.806
Per class
Relative absolute error
0.3696
Root mean prior squared error
0.4999
Root mean squared error
0.4119
Root relative squared error
0.824
SciMark benchmark
927.0753
UserCPU time millis
160
UserCPU time millis testing
50
UserCPU time millis training
110