DEVELOPMENT... OpenML
Run
166947

Run 166947

Task 3765 (Supervised Classification) sleuth_case2002 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
0.6285
Per class
F measure
0.6733
Per class
Kappa
0.3499
KB relative information score
22.7688
Mean absolute error
0.4336
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6794
Per class
Predictive accuracy
0.6735
Prior entropy
0.9974
Recall
0.6735
Per class
Relative absolute error
0.8705
Root mean prior squared error
0.4991
Root mean squared error
0.4878
Root relative squared error
0.9775
SciMark benchmark
923.7642