DEVELOPMENT... OpenML
Run
166709

Run 166709

Task 3534 (Supervised Classification) ohscal.wc 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
0.8224
Per class
F measure
0.6336
Per class
Kappa
0.5889
KB relative information score
2466.1579
Mean absolute error
0.1648
Mean prior absolute error
0.1787
Number of instances
11162
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6386
Per class
Predictive accuracy
0.6319
Prior entropy
3.2759
Recall
0.6319
Per class
Relative absolute error
0.9221
Root mean prior squared error
0.2989
Root mean squared error
0.2767
Root relative squared error
0.9255
SciMark benchmark
923.7642
UserCPU time millis
6168010
UserCPU time millis testing
1805850
UserCPU time millis training
4362160