DEVELOPMENT... OpenML
Run
165679

Run 165679

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 17-02-2015 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
0.9677
Per class
F measure
0.9314
Per class
Kappa
0.9233
KB relative information score
1855.3445
Mean absolute error
0.0139
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
0.9323
Per class
Predictive accuracy
0.931
Prior entropy
3.3219
Recall
0.931
Per class
Relative absolute error
0.0774
Root mean prior squared error
0.3
Root mean squared error
0.1172
Root relative squared error
0.3906
SciMark benchmark
926.6717
UserCPU time millis
116830
UserCPU time millis testing
39800
UserCPU time millis training
77030