DEVELOPMENT... OpenML
Run
167667

Run 167667

Task 3719 (Supervised Classification) fishcatch 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)_I40
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
0.9988
Per class
F measure
0.9747
Per class
Kappa
0.9472
KB relative information score
149.9744
Mean absolute error
0.0239
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9747
Per class
Predictive accuracy
0.9747
Prior entropy
0.971
Recall
0.9747
Per class
Relative absolute error
0.0497
Root mean prior squared error
0.4896
Root mean squared error
0.142
Root relative squared error
0.2899
SciMark benchmark
941.7954
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40

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