DEVELOPMENT... OpenML
Run
169722

Run 169722

Task 6566 (Supervised Classification) Internet-Advertisements 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
0.9586
Per class
F measure
0.9611
Per class
Kappa
0.8331
KB relative information score
2635.195
Mean absolute error
0.0377
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
0.9618
Per class
Predictive accuracy
0.9625
Prior entropy
0.5848
Recall
0.9625
Per class
Relative absolute error
0.1563
Root mean prior squared error
0.347
Root mean squared error
0.192
Root relative squared error
0.5534
SciMark benchmark
931.2336
UserCPU time millis
102630
UserCPU time millis testing
35430
UserCPU time millis training
67200