DEVELOPMENT... OpenML
Run
168107

Run 168107

Task 229 (Supervised Classification) SEA(50) Uploaded 19-02-2015 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)_I20
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
0.8424
Per class
F measure
0.838
Per class
Kappa
0.6549
KB relative information score
618929.3444
Mean absolute error
0.1828
Mean prior absolute error
0.4739
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8401
Per class
Predictive accuracy
0.8404
Prior entropy
0.9619
Recall
0.8404
Per class
Relative absolute error
0.3857
Root mean prior squared error
0.4868
Root mean squared error
0.3839
Root relative squared error
0.7886
SciMark benchmark
908.0036
UserCPU time millis
37180
UserCPU time millis testing
7610
UserCPU time millis training
29570