DEVELOPMENT... OpenML
Run
166187

Run 166187

Task 3835 (Supervised Classification) squash-stored 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)_I160
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
0.7721
Per class
F measure
0.7678
Per class
Kappa
0.528
KB relative information score
27.5256
Mean absolute error
0.2308
Mean prior absolute error
0.4936
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7688
Per class
Predictive accuracy
0.7692
Prior entropy
0.9911
Recall
0.7692
Per class
Relative absolute error
0.4677
Root mean prior squared error
0.4967
Root mean squared error
0.4804
Root relative squared error
0.9672
SciMark benchmark
894.7455
UserCPU time millis
160
UserCPU time millis testing
50
UserCPU time millis training
110