DEVELOPMENT... OpenML
Run
165912

Run 165912

Task 3559 (Supervised Classification) confidence 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
0.872
Per class
F measure
0.8204
Per class
Kappa
0.7833
KB relative information score
57.0539
Mean absolute error
0.0659
Mean prior absolute error
0.2778
Number of instances
72
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8256
Per class
Predictive accuracy
0.8194
Prior entropy
2.585
Recall
0.8194
Per class
Relative absolute error
0.2372
Root mean prior squared error
0.3727
Root mean squared error
0.242
Root relative squared error
0.6493
SciMark benchmark
936.7115
UserCPU time millis
10
UserCPU time millis training
10

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