DEVELOPMENT... OpenML
Run
167278

Run 167278

Task 6566 (Supervised Classification) Internet-Advertisements 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
0.9568
Per class
F measure
0.9674
Per class
Kappa
0.8626
KB relative information score
2720.3528
Mean absolute error
0.0321
Mean prior absolute error
0.2409
Number of instances
3279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9674
Per class
Predictive accuracy
0.968
Prior entropy
0.5848
Recall
0.968
Per class
Relative absolute error
0.1332
Root mean prior squared error
0.347
Root mean squared error
0.1719
Root relative squared error
0.4953
SciMark benchmark
940.3346
UserCPU time millis
888080
UserCPU time millis testing
285820
UserCPU time millis training
602260