DEVELOPMENT... OpenML
Run
168368

Run 168368

Task 3841 (Supervised Classification) mfeat-factors 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
0.9942
Per class
F measure
0.9901
Per class
Kappa
0.9457
KB relative information score
1844.7553
Mean absolute error
0.0096
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9903
Per class
Predictive accuracy
0.99
Prior entropy
0.4703
Recall
0.99
Per class
Relative absolute error
0.0532
Root mean prior squared error
0.3
Root mean squared error
0.0929
Root relative squared error
0.3096
SciMark benchmark
938.2848
UserCPU time millis
13000
UserCPU time millis testing
3950
UserCPU time millis training
9050