DEVELOPMENT... OpenML
Run
166554

Run 166554

Task 16 (Supervised Classification) mfeat-karhunen 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
0.9758
Per class
F measure
0.9422
Per class
Kappa
0.9356
KB relative information score
1880.3636
Mean absolute error
0.0116
Mean prior absolute error
0.18
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
0.9426
Per class
Predictive accuracy
0.942
Prior entropy
3.3219
Recall
0.942
Per class
Relative absolute error
0.0643
Root mean prior squared error
0.3
Root mean squared error
0.1065
Root relative squared error
0.3551
SciMark benchmark
940.2922
UserCPU time millis
61040
UserCPU time millis testing
20480
UserCPU time millis training
40560