DEVELOPMENT... OpenML
Run
168394

Run 168394

Task 3903 (Supervised Classification) pc3 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)_I20
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
0.7534
Per class
F measure
0.5621
Per class
Kappa
0.0888
KB relative information score
-4555.5104
Mean absolute error
0.5162
Mean prior absolute error
0.1842
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8771
Per class
Predictive accuracy
0.476
Prior entropy
0.478
Recall
0.476
Per class
Relative absolute error
2.8027
Root mean prior squared error
0.3031
Root mean squared error
0.6825
Root relative squared error
2.2516
SciMark benchmark
938.2848
UserCPU time millis
50
UserCPU time millis testing
20
UserCPU time millis training
30