DEVELOPMENT... OpenML
Run
166744

Run 166744

Task 3561 (Supervised Classification) profb 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
0.7251
Per class
F measure
0.7048
Per class
Kappa
0.3268
KB relative information score
167.8357
Mean absolute error
0.3266
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7021
Per class
Predictive accuracy
0.7098
Prior entropy
0.9188
Recall
0.7098
Per class
Relative absolute error
0.7346
Root mean prior squared error
0.4714
Root mean squared error
0.4574
Root relative squared error
0.9702
SciMark benchmark
926.6717
UserCPU time millis
90
UserCPU time millis testing
30
UserCPU time millis training
60