DEVELOPMENT... OpenML
Run
173118

Run 173118

Task 3534 (Supervised Classification) ohscal.wc Uploaded 21-02-2015 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
0.8678
Per class
F measure
0.6453
Per class
Kappa
0.6029
KB relative information score
6699.1244
Mean absolute error
0.0854
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
0.6488
Per class
Predictive accuracy
0.6446
Prior entropy
3.2759
Recall
0.6446
Per class
Relative absolute error
0.4779
Root mean prior squared error
0.2989
Root mean squared error
0.2369
Root relative squared error
0.7924
SciMark benchmark
942.3168
UserCPU time millis
12845000
UserCPU time millis testing
4540950
UserCPU time millis training
8304050