DEVELOPMENT... OpenML
Run
168007

Run 168007

Task 40 (Supervised Classification) glass 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
0.6795
Per class
F measure
0.438
Per class
Kappa
0.3112
KB relative information score
33.1628
Mean absolute error
0.2075
Mean prior absolute error
0.2116
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4874
Per class
Predictive accuracy
0.4766
Prior entropy
2.2315
Recall
0.4766
Per class
Relative absolute error
0.9805
Root mean prior squared error
0.3244
Root mean squared error
0.3449
Root relative squared error
1.0631
SciMark benchmark
942.6953
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30